vision transformer

Partial success in closing the gap between human and machine vision NeurIPS 2021 PatchGame: Learning to Signal Mid-level Patches in Referential Games NeurIPS 2021 Pay Attention to MLPs NeurIPS 2021 Post-Training Quantization for Vision Transformer NeurIPS 2021 Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction Without Convolutions ICCV 2021 ResT: An Efficient Transformer for Visual Recognition NeurIPS 2021 Rethinking and Improving Relative Position Encoding for Vision Transformer ICCV 2021 Rethinking Spatial Dimensions of Vision Transformers ICCV 2021 Scalable Vision Transformers With Hierarchical Pooling ICCV 2021 Scaling Vision with Sparse Mixture of Experts NeurIPS 2021 Searching the Search Space of Vision Transformer NeurIPS 2021 Segmenter: Transformer for Semantic Segmentation ICCV 2021 Segmenting Transparent Objects in the Wild with Transformer IJCAI 2021 Shifted Chunk Transformer for Spatio-Temporal Representational Learning NeurIPS 2021 SOFT: Softmax-free Transformer with Linear Complexity NeurIPS 2021 Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation NeurIPS 2021 Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows ICCV 2021 Tokens-to-Token ViT: Training Vision Transformers From Scratch on ImageNet ICCV 2021 Training data-efficient image transformers & distillation through attention ICML 2021 TransFER: Learning Relation-Aware Facial Expression Representations With Transformers ICCV 2021 TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification NeurIPS 2021 TransReID: Transformer-Based Object Re-Identification ICCV 2021 Twins: Revisiting the Design of Spatial Attention in Vision Transformers NeurIPS 2021 Understanding Robustness of Transformers for Image Classification ICCV 2021 VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text NeurIPS 2021