Daily Papers
- Defect Detection
- Defect Segmentation
- Anomaly Detection
- 3D Anomaly Detection
- Multimodal Anomaly Detection
- Vector Quantization
Updated on 2026.10.30
Defect Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-10-27 | Prototype-Guided Dynamic Domain Modulation and a Large-Scale Multi-SKU Benchmark for Shampoo Bottle Surface Defect Detection | Yuehang Li et.al | paper | - | - |
| 2026-10-25 | Real-Time Conveyor Belt Defect Detection via Edge TPU-Accelerated YOLOv11 on Raspberry Pi 5 | Muhammad Nur Bijak Bestari et.al | paper | - | - |
| 2026-10-13 | Cross-Scenario Industrial Defect Detection via Domain-Robust Training and Metric-Aligned Selection | Dikai Li et.al | paper | code | <summary>detail</summary>This paper has been accepted for presentation in IEEE ICME 2026 |
| 2026-10-6 | Epistemic Uncertainty-Aware Defect Detection for Quality Control in Medical Device Manufacturing | Raham A. Butt et.al | paper | - | - |
| 2026-10-5 | Feature identification for parameter extraction and defect detection using machine learning | Yan Guo et.al | paper | - | - |
| 2026-10-3 | Detecting Defects that Matter: An Application-Driven Benchmark for Anomaly Detection in Manufacturing and Retail Logistics (VAND 4.0 Challenge) | Lars Heckler-Kram et.al | paper | code | - |
| 2026-9-24 | Industrial Anomaly Detection via Defect-Grounded Reasoning in Visual Latent Space | Jaron Yeh et.al | paper | code | - |
| 2026-9-23 | TEEP-RCNN: Texture-Enhanced Edge-aware Perception for Steel Surface Defect Detection via Improved Convolutional Block Attention in Faster R-CNN | Kirtan Rajesh et.al | paper | - | - |
| 2026-9-19 | Signal-Informed Temporal Routing for Vinyl Defect Regime Detection | Yi-Hung Kan et.al | paper | - | - |
| 2026-9-18 | What Remains Normal? Clean Images Miss Useful Near-Defect Normal Patches for Anomaly Detection | Joongwon Chae et.al | paper | code | - |
| 2026-9-10 | Positional task conditioning for scalable defect detection across product families in large product catalogs | Soham Satyadharma et.al | paper | - | - |
| 2026-9-7 | Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Data | Mobina Mobaraki et.al | paper | - | - |
| 2026-9-5 | Spatial Attention Supervision for Defect Localization: Exploiting Ground-Truth Masks as Training Signal in Diffusion-Augmented Defect Detection | Sajjad Rezvani Boroujeni et.al | paper | code | - |
| 2026-9-4 | Robust Online Aero-Engine Blade Defect Detection via Dual-Alignment Test-Time Adaptation | Zhaoyang Wang et.al | paper | - | <summary>detail</summary>This manuscript is conference PRCV 2026 |
| 2026-9-3 | ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects | Paul J. Krassnig et.al | paper | code | - |
| 2026-9-2 | FuDU: A Fuzzy Dual-dimensional Uncertainty Framework for Streaming Active Learning in Industrial Defect Detection | Zhaoyang Wang et.al | paper | code | <summary>detail</summary>ECCV 2026 |
| 2026-9-1 | When Agents Implement Systems: A Case Study in Defects, Detection, and Evaluation Rigor | Phanindra Reddy Madduru et.al | paper | - | - |
| 2026-9-1 | Integrated Laser Scanning and Image-Based Topology Optimization Techniques for Detection and Quantification of Visible and Subsurface Structural Defects | Mehrdad Shafiei Dizaji et.al | paper | - | <summary>detail</summary>9 |
| 2026-8-28 | CF-YOLO: Context-Aware Feature Refinement for Camouflaged Industrial Micro-Defect Detection | Xinda Yu et.al | paper | code | - |
| 2026-8-27 | ShiftSplit-AD: Separating Domain Shift from Defects in Foundation-Feature Visual Anomaly Detection | Muhamathu Ameer Ali Aacaas Muhamath et.al | paper | - | - |
| 2026-8-25 | Lowering the Barrier to AI-Driven Inspection: A No-Code Workflow for Automated Structural Defect Detection | Michael Holm et.al | paper | code | - |
| 2026-8-25 | When More References Hurt: Contamination-Aware DINOv2 Memory Banks for Few-Shot Steel Defect Detection | Hannaneh Kalantary et.al | paper | - | - |
| 2026-8-20 | AGIDefect-4K: A Richly Annotated Dataset for AI-Generated Image Defect Detection, Localization and Explanation | Xiangfei Sheng et.al | paper | code | - |
| 2026-8-18 | Continuity-Driven Representation Learning for Industrial Defect Detection | Minjong Kim et.al | paper | - | <summary>detail</summary>the British Machine Vision Conference (BMVC) 2026 |
| 2026-8-12 | Low Cost Two-Stage Fabric Defect Detection at the Edge | Rasel Hossen et.al | paper | - | - |
Defect Segmentation
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-9-29 | DCM-SAM: Defect-Conditioned Mixture of LoRA Experts for NPU-Deployed AM Defect Segmentation | Md Mushfiqur Rahaman et.al | paper | code | - |
| 2026-9-18 | P$^3$-SAM: SAM with Perceptual Parallel Prompt for Few-Shot Strip Steel Surface Defect Segmentation | Qian Xu et.al | paper | - | <summary>detail</summary>Accepted by ICME 2026 |
| 2026-8-31 | SAM3-LoRA: Parameter-Efficient Adaptation of a Concept-Promptable Foundation Model for Multi-Class Structural Defect Segmentation | P. Malaisree et.al | paper | - | - |
| 2026-8-31 | SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision | Dain Kwon et.al | paper | - | - |
| 2026-7-23 | SPDCN: Strip-based Deformable Convolutional Network for Steel Surface Defect Segmentation | Zhongming Liu et.al | paper | code | - |
| 2026-7-15 | XCT-SAM: Sequential Parameter-Efficient Domain Adaptation of SAM for Industrial XCT Defect Segmentation | Md Mahedi Hasan et.al | paper | code | - |
| 2026-7-2 | Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation | Nadeem Nazer et.al | paper | - | <summary>detail</summary>Journal ref:European Conference on Computer Vision (ECCV 2026) |
| 2026-6-2 | Cesarean Scar Defect Segmentation in Transvaginal Ultrasound Images: a Dataset and Benchmark | Yuan Tian et.al | paper | - | - |
| 2026-4-20 | DeltaSeg: Tiered Attention and Deep Delta Learning for Multi-Class Structural Defect Segmentation | Enrique Hernandez Noguera et.al | paper | - | - |
| 2026-4-13 | Boxes2Pixels: Learning Defect Segmentation from Noisy SAM Masks | Camile Lendering et.al | paper | code | <summary>detail</summary>Accepted for presentation at the AI4RWC Workshop at CVPR 2026 |
| 2026-3-15 | Multi-Period Texture Contrast Enhancement for Low-Contrast Wafer Defect Detection and Segmentation | Zihan Zhang et.al | paper | - | - |
| 2026-1-22 | A Segmentation-driven Editing Method for Bolt Defect Augmentation and Detection | Yangjie Xiao et.al | paper | code | - |
| 2025-11-24 | A Storage-Efficient Feature for 3D Concrete Defect Segmentation to Replace Normal Vector | Linxin Hua et.al | paper | - | - |
| 2025-11-8 | Point Cloud Segmentation of Integrated Circuits Package Substrates Surface Defects Using Causal Inference: Dataset Construction and Methodology | Bingyang Guo et.al | paper | - | - |
| 2025-11-6 | KARMA: Efficient Structural Defect Segmentation via Kolmogorov-Arnold Representation Learning | Md Meftahul Ferdaus et.al | paper | code | <summary>detail</summary>This work has been submitted to the IEEE for possible publication |
| 2025-10-15 | Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects | Hang-Cheng Dong et.al | paper | - | - |
| 2025-10-6 | Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation | Christina Thrainer et.al | paper | - | - |
| 2025-10-1 | Defect Segmentation in OCT scans of ceramic parts for non-destructive inspection using deep learning | Andrés Laveda-Martínez et.al | paper | - | - |
| 2025-9-11 | Unsupervised Integrated-Circuit Defect Segmentation via Image-Intrinsic Normality | Botong Zhao et.al | paper | - | - |
| 2025-8-6 | MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning | Ylli Sadikaj et.al | paper | - | - |
| 2025-7-23 | Exploring Active Learning for Semiconductor Defect Segmentation | Lile Cai et.al | paper | - | <summary>detail</summary>accepted to ICIP 2022 |
| 2025-7-14 | Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images | Abhishek Jha et.al | paper | code | - |
| 2025-6-28 | Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception | Hang-Cheng Dong et.al | paper | - | - |
| 2025-6-24 | Evolutionary computing-based image segmentation method to detect defects and features in Additive Friction Stir Deposition Process | Akshansh Mishra et.al | paper | - | - |
| 2025-6-17 | synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? | Johannes Flotzinger et.al | paper | - | - |
Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-10-29 | RADIOlogy: A Single-Pass Approach to Training-Free Zero-Shot Anomaly Detection | Joaquín Figueira et.al | paper | code | <summary>detail</summary>WACV 2027 |
| 2026-10-29 | Cross-Encoder Anchor Refinement for Zero-Shot Anomaly Detection | Kaisong Ji et.al | paper | - | - |
| 2026-10-29 | PairWatch: Pair-Aware Anomaly Transformer for Detecting Adversarial Rendezvous in Public Satellite Catalogs | Young Eun Kwon et.al | paper | code | - |
| 2026-10-29 | Why Does Counterintuitive Likelihood Behavior Rarely Emerge in Tabular Anomaly Detection? | Donghwan Kim et.al | paper | - | - |
| 2026-10-28 | VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection | Yingyuan Yang et.al | paper | code | - |
| 2026-10-27 | What Remains Without Leaking Test Labels? Exposing Evaluation Flaws in Graph-Level Anomaly Detection | Yujie Lu et.al | paper | - | <summary>detail</summary>v2: Retitled |
| 2026-10-27 | AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection | Hezhe Qiao et.al | paper | - | <summary>detail</summary>Accepted by KDD2025 |
| 2026-10-27 | Generative Semi-supervised Graph Anomaly Detection | Hezhe Qiao et.al | paper | code | <summary>detail</summary>Accepted by NeurIPS 2024 |
| 2026-10-26 | Anomaly Detection via Autoencoder Composite Features and NCE | Yalin Liao et.al | paper | - | - |
| 2026-10-26 | CLOSURE: Cross-Channel Closure for Multivariate Time Series Anomaly Detection | Fan Xu et.al | paper | - | - |
| 2026-10-26 | Detecting bus delays and service anomalies in Niterói with autoencoder latent feature representations | Matheus Germano et.al | paper | - | - |
| 2026-10-26 | ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration | Kadir-Kaan Özer et.al | paper | - | <summary>detail</summary>the 2026 IEEE International Conference on Big Data (IEEE BigData 2026) |
| 2026-10-26 | AdaTrendLike: Adaptive Hierarchical Detrending and Trend Likelihood Scoring for Time Series Anomaly Detection | Van Kwan Zhi Koh et.al | paper | - | <summary>detail</summary>Journal ref:IEEE Transactions on Industrial Informatics (2026) |
| 2026-10-26 | LEAP: a Latent Embedding Anomaly Patch-Transformer for time-series anomaly detection | Cristhian Moya-Mota et.al | paper | - | - |
| 2026-10-26 | MINT: Mitigating Structural Inconsistency via Attentive Message Passing for Financial Anomaly Detection | Yin-Ju Wu et.al | paper | - | <summary>detail</summary>CIKM 2026 (Short Research Paper) |
| 2026-10-26 | SGDB: Semantic-Geometric Decoupling and Evidence Binding for Logical Anomaly Detection | Chenrui Ji et.al | paper | code | - |
| 2026-10-25 | Do Words Matter? What Text Contributes to Few and Full-Shot Vision-Language Anomaly Detection | Arda Baris Basaran et.al | paper | - | - |
| 2026-10-25 | Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning | Peng Chen et.al | paper | code | - |
| 2026-10-25 | BE-CTDE: Blockchain-Enabled Multi-Agent Reinforcement Learning with Anomaly Detection and Token Economics | Chih-Wei Huang et.al | paper | - | - |
| 2026-10-23 | Flownomaly: Single-Step Conditional-Mean Recovery for Few-Shot Anomaly Detection | Bernardo Perrone Ribeiro et.al | paper | code | <summary>detail</summary>WACV 2027 |
| 2026-10-23 | Learning Pathology-Sensitive Representations for Unsupervised Retinal OCT Anomaly Detection | Tania Haghighi et.al | paper | - | - |
| 2026-10-23 | Efficient Zero-Shot Video Anomaly Detection via Signal-Aware Adaptive Fusion (SAAF) | Khaled Waleed Dawoud et.al | paper | code | <summary>detail</summary>WACV 2027 |
| 2026-10-23 | Data Quality Audit and Bivariate Temperature-Humidity Analysis of a Long-Term LoRaWAN Network: Anomaly Detection, PCA, Clustering and Machine Learning | Mamadou Sow et.al | paper | - | - |
| 2026-10-23 | TENET: Time-point Encoding Network for Multivariate Time Series Anomaly Detection | Dongchan Cho et.al | paper | - | <summary>detail</summary>Accepted by NeurIPS 2026 |
| 2026-10-23 | Towards Generalizable 3D Anomaly Detection via Relational Inconsistency Modeling | KunHo Heo et.al | paper | code | <summary>detail</summary>Accepted by NeurIPS 2026 |
3D Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-10-23 | Towards Generalizable 3D Anomaly Detection via Relational Inconsistency Modeling | KunHo Heo et.al | paper | code | <summary>detail</summary>Accepted by NeurIPS 2026 |
| 2026-9-27 | Beyond Geometry: Benchmarking and Consistency Reasoning for 3D Logical Anomaly Detection | Zhiqiang Qin et.al | paper | - | - |
| 2026-9-22 | AT3D-AD: Anomaly Type-Aware 3D Anomaly Detection via Hierarchical Point-Language Alignment | Jingyu Zeng et.al | paper | - | - |
| 2026-9-13 | PC$^2$-AD: Point Cloud Upsampling to Safeguard 3D Anomaly Detection with Resolution-constrained Edge Devices | Yutong Gu et.al | paper | code | - |
| 2026-8-12 | MVFM-3DAD: Multi-view Flow Matching for 3D Anomaly Detection via Density Proxy Estimation | Liangwei Li et.al | paper | code | <summary>detail</summary>ICIG 2026 oral presentation |
| 2026-7-15 | M2P-AD: Memory-to-Prototype Learning with Boundary-aware Score Refinement for 3D Anomaly Detection | Seyoung Jeong et.al | paper | - | - |
| 2026-7-12 | Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection | Kaiqiang Li et.al | paper | code | <summary>detail</summary>CVPR 2026 |
| 2026-7-11 | Physics-inspired Pseudo Anomaly Generation and Prototype Feature Guidance for 3D Anomaly Detection | Jian Ning et.al | paper | code | - |
| 2026-7-6 | DDStereo: Efficient Dual Decoder Transformers for Stereo 3D Road Anomaly Detection | Shiyi Mu et.al | paper | code | <summary>detail</summary>Accepted by ECCV2026 |
| 2026-6-27 | Anomaly Factory 3D: A Modular Framework for Diverse Pseudo-Anomaly Synthesis in Unsupervised 3D Anomaly Detection | Ali Balapour et.al | paper | - | - |
| 2026-6-24 | Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection | Linchun Wu et.al | paper | - | - |
| 2026-6-23 | CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection | Ke Xu et.al | paper | code | <summary>detail</summary>ICML 2026 |
| 2026-6-17 | Toward Training-Free Zero-Shot Anomaly Detection in 3D Medical Images: A Batch-Based Approach Using 2D Foundation Models | Tai Le-Gia et.al | paper | - | <summary>detail</summary>ACM Class:I |
| 2026-6-5 | Automated 3D Kinematic Monitoring for Circadian Activity and Anomaly Detection in Juvenile Fish | Chih-Wei Huang et.al | paper | - | - |
| 2026-6-2 | VT-3DAD: Cross-Category 3D Anomaly Detection via Visual-Text Normal Space Alignment | Zi Wang et.al | paper | - | - |
| 2026-5-25 | GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning | Zehao Deng et.al | paper | code | <summary>detail</summary>Accepted by CVPR 2026 |
| 2026-5-7 | Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection | Letian Bai et.al | paper | - | - |
| 2026-5-6 | Two Steps Are All You Need: Efficient 3D Point Cloud Anomaly Detection with Consistency Models | Pranav A et.al | paper | - | <summary>detail</summary>CVPR 2026 |
| 2026-5-6 | Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection | Haibo Xiao et.al | paper | code | - |
| 2026-4-29 | Breaking the Rigid Prior: Towards Articulated 3D Anomaly Detection | Jinye Gan et.al | paper | - | - |
| 2026-4-6 | Synthesis4AD: Synthetic Anomalies are All You Need for 3D Anomaly Detection | Yihan Sun et.al | paper | code | - |
| 2026-4-5 | Hierarchical Point-Patch Fusion with Adaptive Patch Codebook for 3D Shape Anomaly Detection | Xueyang Kang et.al | paper | - | - |
| 2026-4-2 | Modulate-and-Map: Crossmodal Feature Mapping with Cross-View Modulation for 3D Anomaly Detection | Alex Costanzino et.al | paper | - | <summary>detail</summary>CVPR Findings 2026 |
| 2026-4-1 | Open-Set Supervised 3D Anomaly Detection: An Industrial Dataset and a Generalisable Framework for Unknown Defects | Hanzhe Liang et.al | paper | code | <summary>detail</summary>Resources: https://github |
| 2026-3-26 | A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection | SuYeon Kim et.al | paper | - | <summary>detail</summary>Accepted by CVPR 2026 |
Multimodal Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-10-22 | Autoregressive Multimodal Anomaly Detection with Large Language Models for Microservice Systems | Yixiang Tang et.al | paper | - | - |
| 2026-10-19 | BEACON: Bridging Multimodal Semantics and Asynchronous Propagation for Cloud System Anomaly Detection | Zhe Li et.al | paper | - | <summary>detail</summary>Accepted by ICDE 2027 |
| 2026-10-18 | KPI-Aware Multimodal Anomaly Detection for 5G and Open RAN Telemetry | Chiman Salavati et.al | paper | - | <summary>detail</summary>the IEEE ICDM 2026 Applied Research Track |
| 2026-10-10 | Bidirectional Adaptive Transformers for Multimodal Anomaly Detection | Yuxin Jiang et.al | paper | - | - |
| 2026-10-6 | GRC-Net: Global Representation Consistency Network for Unsupervised Multimodal Anomaly Detection | Seyoung Jeong et.al | paper | - | - |
| 2026-9-22 | Confidence-Guided Cross-Modal Knowledge Transfer for Multimodal Anomaly Detection in Microservice Systems | Peipeng Wang et.al | paper | - | - |
| 2026-9-22 | When Point Clouds Outperform Pixels: Rethinking Zero-Shot Multimodal Anomaly Detection | Chenglin Ye et.al | paper | - | - |
| 2026-9-8 | AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization | Jingyi Liao et.al | paper | - | - |
| 2026-8-14 | Rethinking Auxiliary Modalities in Multimodal Zero-shot Anomaly Detection: From Semantic Fusion to Conditional Modulation | Peng Wu et.al | paper | - | - |
| 2026-8-9 | Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data | Anushka Roy et.al | paper | - | - |
| 2026-8-9 | Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems | Alexander Apartsin et.al | paper | - | - |
| 2026-8-8 | LIBAD: A Multimodal Anomaly Detection Benchmark for Li-Ion Battery Electrode Manufacturing | Wenbo Sui et.al | paper | - | - |
| 2026-8-2 | Understanding and Overcoming Cross-modal Fusion Bias in Multimodal Anomaly Detection From A Fisher Information Perspective | Kaifang Long et.al | paper | - | - |
| 2026-7-31 | ReMoE: Report-Guided Mixture-of-Experts for Multimodal OCT/OCTA Anomaly Detection | Zihan Nie et.al | paper | - | - |
| 2026-7-29 | OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning | Shifang Zhao et.al | paper | - | - |
| 2026-7-13 | TC-MAF: Train-Calibrated Bounded Multi-Evidence Fusion for Multimodal Industrial Anomaly Detection | Ming Deng et.al | paper | code | <summary>detail</summary>accepted by ACM MM 2026 |
| 2026-7-7 | Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners | Xinyue Liu et.al | paper | code | <summary>detail</summary>Accepted by TMM |
| 2026-7-4 | Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection | Runzhi Deng et.al | paper | - | <summary>detail</summary>Accepted by ECCV 2026 |
| 2026-7-2 | CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection | Wen Dong et.al | paper | code | - |
| 2026-6-26 | RobustMAD: Evaluating Real-World Robustness of Multimodal Small Language Models for Deployable Anomaly Detection Assistants | Anushiya Arunan et.al | paper | code | <summary>detail</summary>Accepted for publication in Transactions on Machine Learning Research (TMLR) |
| 2026-5-31 | AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection | Junru Zhang et.al | paper | - | <summary>detail</summary>ICML 2026 |
| 2026-5-18 | Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in the Wild | Shanle Yao et.al | paper | - | - |
| 2026-5-18 | UTOPYA: A Multimodal Deep Learning Framework for Physics-Informed Anomaly Detection and Time-Series Prediction | Robson W. S. Pessoa et.al | paper | - | - |
| 2026-5-15 | Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection | Heqiang Wang et.al | paper | - | - |
| 2026-5-7 | EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language Models | Xiaomeng Peng et.al | paper | - | - |
Vector Quantization
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-10-29 | One Vector or Many? Clustered Optimal-Transport Steering under Quantization | Illia Makarov et.al | paper | - | - |
| 2026-10-28 | REVBRAIN: Real-time Probabilistic EEG Forecasting Using Residual Vector Quantization | Hanna Pankka et.al | paper | - | - |
| 2026-10-27 | CoS-VQ: Coordinated Shared-Scale Vector Quantization for Large Language Models | Zukang Xu et.al | paper | code | - |
| 2026-10-26 | Divide et Calibra: Multiclass Local Calibration via Vector Quantization | Cesare Barbera et.al | paper | - | <summary>detail</summary>the Fortieth Annual Conference on Neural Information Processing System (NeurIPS 2026) |
| 2026-10-26 | Transporting Quantiles to Codebook: Scalable Vector Quantization without Codebook Collapse | Yuwei Zeng et.al | paper | - | - |
| 2026-10-22 | SQuAT: Spherical Lattice Vector Quantization-Aware Training | Sebastian Loeschcke et.al | paper | - | - |
| 2026-10-22 | Extreme Compression of Per-Layer Embeddings via Cross-Layer Latent Vector Quantization | Jiacheng Liu et.al | paper | code | <summary>detail</summary>Code at https://github |
| 2026-10-20 | Vector-Quantized World Model: Latent Feedback Motion Planning for Robot Manipulation | Xuezhou Xu et.al | paper | - | - |
| 2026-10-19 | VQActFlow: Vector-Quantized Action Mode Steering for Multi-Task Robot Manipulation | Zhigen Zhao et.al | paper | code | - |
| 2026-10-13 | VQEL: Enabling Self-Play in Emergent Language Games via Agent-Internal Vector Quantization | Mohammad Mahdi Samiei Paqaleh et.al | paper | - | <summary>detail</summary>Journal ref:Transactions on Machine Learning Research |
| 2026-10-13 | SeRV: Semantic-Aligned Residual Vector Quantization for American Sign Language Generation | Hongyu Wu et.al | paper | code | - |
| 2026-10-10 | SAGE: Pushing 2-Bit Vector-Quantized LLMs toward Real-World Usability | Xianglong Yan et.al | paper | code | - |
| 2026-10-6 | Tree-VQ: Progressive Image Compression from Pretrained Vector Quantizers | Mingming Ma et.al | paper | - | - |
| 2026-10-1 | FedFit: Federated Fine-Tuning of LLMs via Vector-Bank Parameterization and Quantization | Hang Zou et.al | paper | - | - |
| 2026-9-30 | Spatial Strategies, Not Actions: Vector-Quantized Geodesics as Tools for LLM-Driven Agents | Gabriel Turinici et.al | paper | - | <summary>detail</summary>MSC Class:68T05 |
| 2026-9-29 | Task-Oriented Visual Feature Compression via Residual Vector Quantization for Device-Edge Multimodal Inference | Luning Pang et.al | paper | - | - |
| 2026-9-28 | Dual-Branch Vector-Quantization-Aided Satellite Digital Semantic Communication with Index Compression for High-Resolution RSI Over AFDM | Jianqiao Chen et.al | paper | - | - |
| 2026-9-28 | SSTQ:Privacy-Preserving Vector Quantization via Subsampled Stochastic TurboQuant | Adel Javanmard et.al | paper | - | - |
| 2026-9-27 | Pushing Toward the Simplex Vertices: A Simple Remedy for Code Collapse in Smoothed Vector Quantization | Takashi Morita et.al | paper | - | - |
| 2026-9-24 | VQ-LIC: Shared Vector-Quantized Learned Image Compression on a Resource-Constrained FPGA | Muhammad Fahd Ibrahim Bhatti et.al | paper | - | - |
| 2026-9-22 | StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training | Bao Tang et.al | paper | code | <summary>detail</summary>Project page: https://tt-day |
| 2026-9-17 | VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits | Jintian Shao et.al | paper | - | <summary>detail</summary>Lack of sufficient experiments and detailed format alignment |
| 2026-9-15 | Prior-Aided Masked Vector Quantization CSI Feedback for FDD Massive MIMO Systems | Yi Song et.al | paper | - | - |
| 2026-9-10 | LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization | Haoyu Wang et.al | paper | code | <summary>detail</summary>Accepted by ICML 2026 |
| 2026-9-9 | When Does Low-Bit Quantization Preserve the Decisions of Vector Search? | Wenxuan Xiao et.al | paper | - | <summary>detail</summary>JMLR-style preprint with theoretical and experimental appendices |