vision transformer

ViT-Lens: Towards Omni-modal Representations CVPR 2024 ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization AAAI 2024 VMFormer: End-to-End Video Matting With Transformer WACV 2024 Weight Conditioning for Smooth Optimization of Neural Networks ECCV 2024 What matters when building vision-language models? NeurIPS 2024 Win-Win: Training High-Resolution Vision Transformers from Two Windows ICLR 2024 Xformer: Hybrid X-Shaped Transformer for Image Denoising ICLR 2024 xT: Nested Tokenization for Larger Context in Large Images ICML 2024 You Only Need Less Attention at Each Stage in Vision Transformers CVPR 2024 Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers CVPR 2024 $E(2)$-Equivariant Vision Transformer UAI 2023 Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets WACV 2023 A Closer Look at Self-Supervised Lightweight Vision Transformers ICML 2023 ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation CVPR 2023 AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts ICCV 2023 Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023 Adaptive and Background-Aware Vision Transformer for Real-Time UAV Tracking ICCV 2023 Adaptive Frequency Filters As Efficient Global Token Mixers ICCV 2023 Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention IJCAI 2023 Adversarial Normalization: I Can Visualize Everything (ICE) CVPR 2023 A Dynamic Dual-Processing Object Detection Framework Inspired by the Brain's Recognition Mechanism ICCV 2023 Affordance Grounding From Demonstration Video To Target Image CVPR 2023 A Generalization of ViT/MLP-Mixer to Graphs ICML 2023 A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation ICCV 2023 AiluRus: A Scalable ViT Framework for Dense Prediction NeurIPS 2023