vision transformer

DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning CVPR 2025 DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention MIDL 2025 EA-Vit: Efficient Adaptation for Elastic Vision Transformer ICCV 2025 Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy ICCV 2025 Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks CVPR 2025 Efficient Learning with Sine-Activated Low-Rank Matrices ICLR 2025 Efficient Track Anything ICCV 2025 Efficient Visual Representation Learning with Heat Conduction Equation IJCAI 2025 Efficient Visual State Space Model for Image Deblurring CVPR 2025 EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients ICCV 2025 Empirical Analysis of Scaling Vision Foundation Models for Chest X-rays MIDL 2025 EMPLACE: Self-Supervised Urban Scene Change Detection AAAI 2025 Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification IJCAI 2025 EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation AAAI 2025 Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation WACV 2025 ExMute: A Context-Enriched Multimodal Dataset for Hateful Memes COLING 2025 Explaining ViTs Using Information Flow AISTATS 2025 ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts ICML 2025 Exploring Topological Properties in Artificial Neural Networks AAAI 2025 ExtPose: Robust and Coherent Pose Estimation by Extending ViTs ICML 2025 EZSR: Event-based Zero-Shot Recognition CVPR 2025 FastVLM: Efficient Vision Encoding for Vision Language Models CVPR 2025 FeatSharp: Your Vision Model Features, Sharper ICML 2025 Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation WACV 2025 FedBaF: Federated Learning Aggregation Biased by a Foundation Model AISTATS 2025