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vision transformer

1,333 papers

VT

Papers

Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance ICLR 2024 Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning AAAI 2024 Task-Free Dynamic Sparse Vision Transformer for Continual Learning AAAI 2024 Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge CVPR 2024 Temporal Correlation Vision Transformer for Video Person Re-Identification AAAI 2024 Test-Time Domain Generalization for Face Anti-Spoofing CVPR 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 Token Fusion: Bridging the Gap Between Token Pruning and Token Merging WACV 2024 TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation CVPR 2024 Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer CVPR 2024 TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation AAAI 2024 Towards Understanding and Improving Adversarial Robustness of Vision Transformers CVPR 2024 Training Vision Transformers for Semi-Supervised Semantic Segmentation CVPR 2024 Transformer Doctor: Diagnosing and Treating Vision Transformers NeurIPS 2024 Transformer Fusion with Optimal Transport ICLR 2024 Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner NeurIPS 2024 TransNeXt: Robust Foveal Visual Perception for Vision Transformers CVPR 2024 U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers NeurIPS 2024 Understanding Hyperbolic Metric Learning Through Hard Negative Sampling WACV 2024 Uni3D: Exploring Unified 3D Representation at Scale ICLR 2024 Unified Single-Stage Transformer Network for Efficient RGB-T Tracking IJCAI 2024 Unifying Automatic and Interactive Matting with Pretrained ViTs CVPR 2024 UNIT: Unifying Image and Text Recognition in One Vision Encoder NeurIPS 2024 Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors CVPR 2024 Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning CVPR 2024