转载自：[Awesome Visual-Transformer]
Collect some Transformer with Computer-Vision (CV) papers.

Awesome Visual-Transformer

Papers

Transformer original paper

Attention is All You Need (NIPS 2017)

综述

Transformers in Vision: A Survey [paper] - 2021.02.22
A Survey on Visual Transformer [paper] - 2020.1.30
A Survey of Transformers [paper] - 2020.6.09

arXiv papers

[CrossFormer] CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention [paper] [code]
[Styleformer] Styleformer: Transformer based Generative Adversarial Networks with Style Vector [paper] [code]
[CMT] CMT: Convolutional Neural Networks Meet Vision Transformers [paper]
[TransAttUnet] TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation [paper]
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation [paper]
[ViTGAN] ViTGAN: Training GANs with Vision Transformers [paper]
What Makes for Hierarchical Vision Transformer? [paper]
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows [paper] [code]
[Trans4Trans] Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World [paper]
[FFVT] Feature Fusion Vision Transformer for Fine-Grained Visual Categorization [paper]
[TransformerFusion] TransformerFusion: Monocular RGB Scene Reconstruction using Transformers [paper]
Escaping the Big Data Paradigm with Compact Transformers [paper]
How to train your ViT? Data, Augmentation,and Regularization in Vision Transformers [paper]
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks [paper]
[XCiT] XCiT: Cross-Covariance Image Transformers [paper] [code]
Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer [paper] [code]
Video Swin Transformer [paper] [code]
[VOLO] VOLO: Vision Outlooker for Visual Recognition [paper] [code]
Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images [paper]
[P2T] P2T: Pyramid Pooling Transformer for Scene Understanding [paper]
[DocFormer] DocFormer: End-to-End Transformer for Document Understanding [paper]
End-to-end Temporal Action Detection with Transformer [paper] [code]
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers [paper]
Efficient Self-supervised Vision Transformers for Representation Learning [paper]
Space-time Mixing Attention for Video Transformer [paper]
Transformed CNNs: recasting pre-trained convolutional layers with self-attention [paper]
[CAT] CAT: Cross Attention in Vision Transformer [paper]
Scaling Vision Transformers [paper]
[DETReg] DETReg: Unsupervised Pretraining with Region Priors for Object Detection [paper] [code]
Chasing Sparsity in Vision Transformers:An End-to-End Exploration [paper]
[MViT] MViT: Mask Vision Transformer for Facial Expression Recognition in the wild [paper]
Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight [paper]
On Improving Adversarial Transferability of Vision Transformers [paper]
Fully Transformer Networks for Semantic ImageSegmentation [paper]
Visual Transformer for Task-aware Active Learning [paper] [code]
Efficient Training of Visual Transformers with Small-Size Datasets [paper]
Reveal of Vision Transformers Robustness against Adversarial Attacks [paper]
Person Re-Identification with a Locally Aware Transformer [paper]
[Refiner] Refiner: Refining Self-attention for Vision Transformers [paper]
[ViTAE] ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias [paper]
Video Instance Segmentation using Inter-Frame Communication Transformers [paper]
Transformer in Convolutional Neural Networks [paper] [code]
Oriented Object Detection with Transformer [paper]
[Uformer] Uformer: A General U-Shaped Transformer for Image Restoration [paper] [code]
Patch Slimming for Efficient Vision Transformers [paper]
[RegionViT] RegionViT: Regional-to-Local Attention for Vision Transformers [paper]
Associating Objects with Transformers for Video Object Segmentation [paper] [code]
Few-Shot Segmentation via Cycle-Consistent Transformer [paper]
Glance-and-Gaze Vision Transformer [paper] [code]
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers [paper]
Anticipative Video Transformer [paper] [code]
[DynamicViT] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification [paper] [code]
When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations [paper] [code]
[Container] Container: Context Aggregation Network [paper]
Unsupervised Out-of-Domain Detection via Pre-trained Transformers [paper]
[TransMIL] TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication [paper]
[YOLOS] You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection [paper] [code]
[TransVOS] TransVOS: Video Object Segmentation with Transformers [paper]
[KVT] KVT: k-NN Attention for Boosting Vision Transformers [paper]
[MSG-Transformer] MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens [paper] [code]
[SegFormer] SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers [paper] [code]
[SDNet] SDNet: mutil-branch for single image deraining using swin [paper] [code]
[DVT] Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length [paper]
Dual-stream Network for Visual Recognition [paper]
[GazeTR] Gaze Estimation using Transformer [paper] [code]
Transformer-Based Deep Image Matching for Generalizable Person Re-identification [paper]
Less is More: Pay Less Attention in Vision Transformers [paper]
[FoveaTer] FoveaTer: Foveated Transformer for Image Classification [paper]
[TransDA] Transformer-Based Source-Free Domain Adaptation [paper] [code]
An Attention Free Transformer [paper]
[PTNet] PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer [paper]
[ResT] ResT: An Efficient Transformer for Visual Recognition [paper] [code]
[CogView] CogView: Mastering Text-to-Image Generation via Transformers [paper]
[NesT] Aggregating Nested Transformers [paper]
[TAPG] Temporal Action Proposal Generation with Transformers [paper]
Boosting Crowd Counting with Transformers [paper]
[COTR] COTR: Convolution in Transformer Network for End to End Polyp Detection [paper]
[TransVOD] End-to-End Video Object Detection with Spatial-Temporal Transformers [paper] [code]
Intriguing Properties of Vision Transformers [paper] [code]
Combining Transformer Generators with Convolutional Discriminators [paper]
Rethinking the Design Principles of Robust Vision Transformer [paper]
Vision Transformers are Robust Learners [paper] [code]
Manipulation Detection in Satellite Images Using Vision Transformer [paper]
[Segmenter] Segmenter: Transformer for Semantic Segmentation [paper] [code]
[Swin-Unet] Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation [paper] [code]
Self-Supervised Learning with Swin Transformers [paper] [code]
[SCTN] SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation [paper]
[RelationTrack] RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation [paper]
[VGTR] Visual Grounding with Transformers [paper]
[PST] Visual Composite Set Detection Using Part-and-Sum Transformers [paper]
[TrTr] TrTr: Visual Tracking with Transformer [paper] [code]
[MOTR] MOTR: End-to-End Multiple-Object Tracking with TRansformer [paper] [code]
Attention for Image Registration (AiR): an unsupervised Transformer approach [paper]
[TransHash] TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval [paper]
[ISTR] ISTR: End-to-End Instance Segmentation with Transformers [paper] [code]
[CAT] CAT: Cross-Attention Transformer for One-Shot Object Detection [paper]
[CoSformer] CoSformer: Detecting Co-Salient Object with Transformers [paper]
End-to-End Attention-based Image Captioning [paper]
[PMTrans] Pyramid Medical Transformer for Medical Image Segmentation [paper]
[HandsFormer] HandsFormer: Keypoint Transformer for Monocular 3D Pose Estimation ofHands and Object in Interaction [paper]
[GasHis-Transformer] GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification [paper]
Emerging Properties in Self-Supervised Vision Transformers [paper]
[InTra] Inpainting Transformer for Anomaly Detection [paper]
[Twins] Twins: Revisiting Spatial Attention Design in Vision Transformers [paper] [code]
[MLMSPT] Point Cloud Learning with Transformer [paper]
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis [paper]
[ConTNet] ConTNet: Why not use convolution and transformer at the same time? [paper] [code]
[DTNet] Dual Transformer for Point Cloud Analysis [paper]
Improve Vision Transformers Training by Suppressing Over-smoothing [paper] [code]
[Visformer] Visformer: The Vision-friendly Transformer [paper] [code]
Transformer Meets DCFAM: A Novel Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images [paper]
[VST] Visual Saliency Transformer [paper]
[M3DeTR] M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers [paper] [code]
[VidTr] VidTr: Video Transformer Without Convolutions [paper]
[Skeletor] Skeletor: Skeletal Transformers for Robust Body-Pose Estimation [paper]
[FaceT] Learning to Cluster Faces via Transformer [paper]
[MViT] Multiscale Vision Transformers [paper] [code]
[VATT] VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text [paper]
[So-ViT] So-ViT: Mind Visual Tokens for Vision Transformer [paper] [code]
Token Labeling: Training a 85.5% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet [paper] [code]
[TransRPPG] TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection [paper]
[VideoGPT] VideoGPT: Video Generation using VQ-VAE and Transformers [paper]
[M2TR] M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection [paper]
Transformer Transforms Salient Object Detection and Camouflaged Object Detection [paper]
[TransCrowd] TransCrowd: Weakly-Supervised Crowd Counting with Transformer [paper] [code]
[TransVG] TransVG: End-to-End Visual Grounding with Transformers [paper]
Visual Transformer Pruning [paper]
Self-supervised Video Retrieval Transformer Network [paper]
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification [paper]
[TransGAN] TransGAN: Two Transformers Can Make One Strong GAN [paper] [code]
Geometry-Free View Synthesis: Transformers and no 3D Priors [paper] [code]
[CoaT] Co-Scale Conv-Attentional Image Transformers [paper] [code]
[LocalViT] LocalViT: Bringing Locality to Vision Transformers [paper] [code]
[ACTOR] Action-Conditioned 3D Human Motion Synthesis with Transformer VAE [paper]
[CIT] Cloth Interactive Transformer for Virtual Try-On [paper] [code]
Handwriting Transformers [paper]
[SiT] SiT: Self-supervised vIsion Transformer [paper] [code]
On the Robustness of Vision Transformers to Adversarial Examples [paper]
An Empirical Study of Training Self-Supervised Visual Transformers [paper]
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification [paper]
[AOT-GAN] Aggregated Contextual Transformations for High-Resolution Image Inpainting [paper] [code]
Deepfake Detection Scheme Based on Vision Transformer and Distillation [paper]
[ATAG] Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation [paper]
[LeViT] LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference [paper]
[TubeR] TubeR: Tube-Transformer for Action Detection [paper]
[AAformer] AAformer: Auto-Aligned Transformer for Person Re-Identification [paper]
[TFill] TFill: Image Completion via a Transformer-Based Architecture [paper]
Group-Free 3D Object Detection via Transformers [paper] [code]
[STGT] Spatial-Temporal Graph Transformer for Multiple Object Tracking [paper]
[YOGO] You Only Group Once: Efficient Point-Cloud Processing with Token
Representation and Relation Inference Module[paper] [code]
Going deeper with Image Transformers[paper]
[Stark] Learning Spatio-Temporal Transformer for Visual Tracking [paper] [code]
[Meta-DETR] Meta-DETR: Few-Shot Object Detection via Unified Image-Level Meta-Learning [paper [code]
[DA-DETR] DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention [paper]
Robust Facial Expression Recognition with Convolutional Visual Transformers [paper]
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers [paper]
Spatiotemporal Transformer for Video-based Person Re-identification[paper]
[PiT] Rethinking Spatial Dimensions of Vision Transformers [paper] [code]
[TransUNet] TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation [paper] [code]
[CvT] CvT: Introducing Convolutions to Vision Transformers [paper] [code]
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding [paper]
[TFPose] TFPose: Direct Human Pose Estimation with Transformers [paper]
[TransCenter] TransCenter: Transformers with Dense Queries for Multiple-Object Tracking [paper]
[ViViT] ViViT: A Video Vision Transformer [paper]
[CrossViT] CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification [paper]
[TS-CAM] TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization [paper] [code]
Face Transformer for Recognition [paper]
On the Adversarial Robustness of Visual Transformers [paper]
Understanding Robustness of Transformers for Image Classification [paper]
Lifting Transformer for 3D Human Pose Estimation in Video [paper]
[GSA-Net] Global Self-Attention Networks for Image Recognition[paper]
High-Fidelity Pluralistic Image Completion with Transformers [paper] [code]
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows [paper] [code]
[DPT] Vision Transformers for Dense Prediction [paper] [code]
[TransFG] TransFG: A Transformer Architecture for Fine-grained Recognition? [paper]
[TimeSformer] Is Space-Time Attention All You Need for Video Understanding? [paper]
Multi-view 3D Reconstruction with Transformer [paper]
Can Vision Transformers Learn without Natural Images? [paper] [code]
Transformers Solve the Limited Receptive Field for Monocular Depth Prediction [paper] [code]
End-to-End Trainable Multi-Instance Pose Estimation with Transformers [paper]
Instance-level Image Retrieval using Reranking Transformers [paper] [code]
[BossNAS] BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search [paper] [code]
[CeiT] Incorporating Convolution Designs into Visual Transformers [paper]
[DeepViT] DeepViT: Towards Deeper Vision Transformer [paper]
[TNT] Transformer in Transformer [paper] [code]
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training [paper]
3D Human Pose Estimation with Spatial and Temporal Transformers [paper] [code]
[SUNETR] SUNETR: Transformers for 3D Medical Image Segmentation [paper]
Scalable Visual Transformers with Hierarchical Pooling [paper]
[ConViT] ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases [paper]
[TransMed] TransMed: Transformers Advance Multi-modal Medical Image Classification [paper]
[U-Transformer] U-Net Transformer: Self and Cross Attention for Medical Image Segmentation [paper]
[SpecTr] SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation [paper] [code]
[TransBTS] TransBTS: Multimodal Brain Tumor Segmentation Using Transformer [paper] [code]
[SSTN] SSTN: Self-Supervised Domain Adaptation Thermal
Object Detection for Autonomous Driving [paper]
[GANsformer] Generative Adversarial Transformers [paper] [code]
[PVT] Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions [paper] [code]
Transformer is All You Need:
Multimodal Multitask Learning with a Unified Transformer [paper] [code]
[CPVT] Do We Really Need Explicit Position Encodings for Vision Transformers? [paper] [code]
Deepfake Video Detection Using Convolutional Vision Transformer[paper]
Training Vision Transformers for Image Retrieval[paper]
[TransReID] TransReID: Transformer-based Object Re-Identification[paper]
[VTN] Video Transformer Network[paper]
[T2T-ViT] Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet [paper] [code]
[BoTNet] Bottleneck Transformers for Visual Recognition [paper]
[CPTR] CPTR: Full Transformer Network for Image Captioning [paper]
Learn to Dance with AIST++: Music Conditioned 3D Dance Generation [paper] [code]
[Trans2Seg] Segmenting Transparent Object in the Wild with Transformer [paper] [code]
Investigating the Vision Transformer Model for Image Retrieval Tasks [paper]
[Trear] Trear: Transformer-based RGB-D Egocentric Action Recognition [paper]
[VisualSparta] VisualSparta: Sparse Transformer Fragment-level Matching for Large-scale Text-to-Image Search [paper]
[TrackFormer] TrackFormer: Multi-Object Tracking with Transformers [paper]
[LETR] Line Segment Detection Using Transformers without Edges [paper]
[TAPE] Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry [paper]
[TRIQ] Transformer for Image Quality Assessment [paper] [code]
[TransTrack] TransTrack: Multiple-Object Tracking with Transformer [paper] [code]
[TransPose] TransPose: Towards Explainable Human Pose Estimation by Transformer [paper]
[DeiT] Training data-efficient image transformers & distillation through attention [paper] [code]
[Pointformer] 3D Object Detection with Pointformer [paper]
[ViT-FRCNN] Toward Transformer-Based Object Detection [paper]
[Taming-transformers] Taming Transformers for High-Resolution Image Synthesis [paper] [code]
[SceneFormer] SceneFormer: Indoor Scene Generation with Transformers [paper]
[PCT] PCT: Point Cloud Transformer [paper]
[METRO] End-to-End Human Pose and Mesh Reconstruction with Transformers [paper]
[PointTransformer] Point Transformer [paper]
[PED] DETR for Pedestrian Detection[paper]
Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry[paper]
[C-Tran] General Multi-label Image Classification with Transformers [paper]
[TSP-FCOS] Rethinking Transformer-based Set Prediction for Object Detection [paper]
[ACT] End-to-End Object Detection with Adaptive Clustering Transformer [paper]
[STTR] Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers [paper] [code]
[VTs] Visual Transformers: Token-based Image Representation and Processing for Computer Vision [paper]

已见刊 (2021)

Vision Transformer with Progressive Sampling (ICCV)[paper]
[SMCA] Fast Convergence of DETR with Spatially Modulated Co-Attention (ICCV)[paper] [code]
[AutoFormer] AutoFormer: Searching Transformers for Visual Recognition (ICCV)[paper] [code]
[NDT-Transformer] NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation (ICRA)[paper]
[DPT] DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM) [paper]
[HAT] HAT: Hierarchical Aggregation Transformers for Person Re-identification (ACM MM) [paper]
[UTNet] UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation (MICCAI) [paper]
[MedT] Medical Transformer: Gated Axial-Attention for Medical Image Segmentation (MICCAI) [paper] [code]
[MCTrans] Multi-Compound Transformer for Accurate Biomedical Image Segmentation (MICCAI) [paper]
[PNS-Net] Progressively Normalized Self-Attention Network for Video Polyp Segmentation (MICCAI) [paper] [code]
[MBT-Net] A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation [paper]
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization (ISIE) [paper]
Medical Image Segmentation using Squeeze-and-Expansion Transformers (IJCAI) [paper]
Vision Transformer for Fast and Efficient Scene Text Recognition (ICDAR) [paper]
Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer (CVPR) [paper]
[HOTR] HOTR: End-to-End Human-Object Interaction Detection with Transformers (CVPR oral) [paper]
High-Resolution Complex Scene Synthesis with Transformers (CVPRW) [paper]
[TransFuser] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving (CVPR) [paper] [code]
Pose Recognition with Cascade Transformers (CVPR) [paper]
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning (CVPR) [paper]
[LoFTR] LoFTR: Detector-Free Local Feature Matching with Transformers (CVPR) [paper] [code]
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers (CVPR) [paper]
[SETR] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers (CVPR) [paper] [code]
[TransT] Transformer Tracking (CVPR) [paper] [code]
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking (CVPR oral) [paper]
[VisTR] End-to-End Video Instance Segmentation with Transformers (CVPR) [paper]
Transformer Interpretability Beyond Attention Visualization (CVPR) [paper] [code]
[IPT] Pre-Trained Image Processing Transformer (CVPR) [paper]
[UP-DETR] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers (CVPR) [paper]
[IQT] Perceptual Image Quality Assessment with Transformers (CVPRW) [paper]
[VTNet] VTNet: Visual Transformer Network for Object Goal Navigation (ICLR)[paper]
[Vision Transformer] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ICLR)[paper] [code]
[Deformable DETR] Deformable DETR: Deformable Transformers for End-to-End Object Detection (ICLR)[paper] [code]
[LAMBDANETWORKS] MODELING LONG-RANGE INTERACTIONS WITHOUT ATTENTION (ICLR) paper] [code]
[LSTR] End-to-end Lane Shape Prediction with Transformers (WACV) [paper] [code]

已见刊 (2020)

[DETR] End-to-End Object Detection with Transformers (ECCV) [paper] [code]
[FPT] Feature Pyramid Transformer (CVPR) [paper] [code]
[TTSR] Learning Texture Transformer Network for Image Super-Resolution (CVPR) [paper] [code]
[STTN] Learning Joint Spatial-Temporal Transformations for Video Inpainting (ECCV) [paper] [code]