vision transformer

ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer NeurIPS 2023 ShiftNAS: Improving One-shot NAS via Probability Shift ICCV 2023 SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning ICCV 2023 SimGlim: Simplifying Glimpse Based Active Visual Reconstruction WACV 2023 Simple and Efficient Vision Backbone Adapter for Image Semantic Segmentation ACML 2023 SimpleClick: Interactive Image Segmentation with Simple Vision Transformers ICCV 2023 Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention CVPR 2023 SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation IJCAI 2023 SMMix: Self-Motivated Image Mixing for Vision Transformers ICCV 2023 SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation NeurIPS 2023 SparseMAE: Sparse Training Meets Masked Autoencoders ICCV 2023 Sparse Mixture-of-Experts are Domain Generalizable Learners ICLR 2023 Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images CVPR 2023 SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer CVPR 2023 Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers CVPR 2023 Spatio-temporal Prompting Network for Robust Video Feature Extraction ICCV 2023 SpeedDETR: Speed-aware Transformers for End-to-end Object Detection ICML 2023 STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition ICCV 2023 Streaming Video Model CVPR 2023 StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning CVPR 2023 Supervised Masked Knowledge Distillation for Few-Shot Transformers CVPR 2023 SWAT: Spatial Structure Within and Among Tokens IJCAI 2023 Teaching Matters: Investigating the Role of Supervision in Vision Transformers CVPR 2023 Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation EACL 2023 The Lie Derivative for Measuring Learned Equivariance ICLR 2023