vision transformer

Learning Transferable Human-Object Interaction Detector With Natural Language Supervision CVPR 2022 Less Is More: Pay Less Attention in Vision Transformers AAAI 2022 Lite Vision Transformer With Enhanced Self-Attention CVPR 2022 M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design NeurIPS 2022 Masked Autoencoders Are Scalable Vision Learners CVPR 2022 Masked Autoencoders As Spatiotemporal Learners NeurIPS 2022 Masked World Models for Visual Control CoRL 2022 MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofing IJCAI 2022 MCMAE: Masked Convolution Meets Masked Autoencoders NeurIPS 2022 MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition CVPR 2022 Meta-Attention for ViT-Backed Continual Learning CVPR 2022 MetaFormer Is Actually What You Need for Vision CVPR 2022 MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation AAAI 2022 MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities SemEval 2022 MiniViT: Compressing Vision Transformers With Weight Multiplexing CVPR 2022 MixFormer: Mixing Features Across Windows and Dimensions CVPR 2022 MMNet: Muscle Motion-Guided Network for Micro-Expression Recognition IJCAI 2022 Mobile-Former: Bridging MobileNet and Transformer CVPR 2022 MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer ICLR 2022 MPViT: Multi-Path Vision Transformer for Dense Prediction CVPR 2022 MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers MIDL 2022 MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens CVPR 2022 Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation CVPR 2022 Multimodal Token Fusion for Vision Transformers CVPR 2022 Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation CVPR 2022