vision transformer

Self-Supervised Learning of Object Parts for Semantic Segmentation CVPR 2022 Self-supervised Models are Good Teaching Assistants for Vision Transformers ICML 2022 Semantic Segmentation by Early Region Proxy CVPR 2022 Semi-supervised Vision Transformers at Scale NeurIPS 2022 SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders NeurIPS 2022 SepTr: Separable Transformer for Audio Spectrogram Processing Interspeech 2022 Sequencer: Deep LSTM for Image Classification NeurIPS 2022 Short-Term Solar Irradiance Prediction From Sky Images With a Clear Sky Model WACV 2022 Shunted Self-Attention via Multi-Scale Token Aggregation CVPR 2022 SimMIM: A Simple Framework for Masked Image Modeling CVPR 2022 Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity ICLR 2022 Sparse MLP for Image Recognition: Is Self-Attention Really Necessary? AAAI 2022 Splicing ViT Features for Semantic Appearance Transfer CVPR 2022 Swin Transformer V2: Scaling Up Capacity and Resolution CVPR 2022 Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations CVPR 2022 Temporally Efficient Vision Transformer for Video Instance Segmentation CVPR 2022 The Devil Is in the Details: Window-Based Attention for Image Compression CVPR 2022 The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy CVPR 2022 TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation CVPR 2022 Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022 Towards End-to-End Image Compression and Analysis with Transformers AAAI 2022 Towards Practical Certifiable Patch Defense With Vision Transformer CVPR 2022 Towards Robust Vision Transformer CVPR 2022 Towards Theoretically Inspired Neural Initialization Optimization NeurIPS 2022 Towards Transferable Adversarial Attacks on Vision Transformers AAAI 2022