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vision transformer

1,333 papers

VT

Papers

Training-Free Transformer Architecture Search CVPR 2022 Training Object Detectors From Scratch: An Empirical Study in the Era of Vision Transformer CVPR 2022 TransFG: A Transformer Architecture for Fine-Grained Recognition AAAI 2022 TransforMatcher: Match-to-Match Attention for Semantic Correspondence CVPR 2022 TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning AAAI 2022 TransMix: Attend To Mix for Vision Transformers CVPR 2022 TransVPR: Transformer-Based Place Recognition With Multi-Level Attention Aggregation CVPR 2022 TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection EMNLP 2022 TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval AAAI 2022 Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation NeurIPS 2022 Understanding The Robustness in Vision Transformers ICML 2022 Unified Visual Transformer Compression ICLR 2022 UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning ICLR 2022 Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers ICML 2022 Vector-quantized Image Modeling with Improved VQGAN ICLR 2022 Video-based Human-Object Interaction Detection from Tubelet Tokens NeurIPS 2022 VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training NeurIPS 2022 ViDT: An Efficient and Effective Fully Transformer-based Object Detector ICLR 2022 Vision Transformers Are Robust Learners AAAI 2022 Vision Transformers Enable Fast and Robust Accelerated MRI MIDL 2022 Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space CVPR 2022 Vision Transformers provably learn spatial structure NeurIPS 2022 Vision Transformer With Deformable Attention CVPR 2022 ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval CVPR 2022 Visual Attention Emerges from Recurrent Sparse Reconstruction ICML 2022