vision transformer

Learning to Estimate Shapley Values with Vision Transformers ICLR 2023 Less is More: Focus Attention for Efficient DETR ICCV 2023 Leveraging Hidden Positives for Unsupervised Semantic Segmentation CVPR 2023 Lightweight Vision Transformer with Bidirectional Interaction NeurIPS 2023 LineEX: Data Extraction From Scientific Line Charts WACV 2023 LipsFormer: Introducing Lipschitz Continuity to Vision Transformers ICLR 2023 Long Range Pooling for 3D Large-Scale Scene Understanding CVPR 2023 MAGVIT: Masked Generative Video Transformer CVPR 2023 Making Vision Transformers Efficient From a Token Sparsification View CVPR 2023 Mask3D: Pre-Training 2D Vision Transformers by Learning Masked 3D Priors CVPR 2023 Masked Autoencoders Enable Efficient Knowledge Distillers CVPR 2023 Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond CVPR 2023 Masked Image Modeling with Denoising Contrast ICLR 2023 Masked Image Modeling With Local Multi-Scale Reconstruction CVPR 2023 Masked Image Residual Learning for Scaling Deeper Vision Transformers NeurIPS 2023 Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers CVPR 2023 Masked Spiking Transformer ICCV 2023 MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory NeurIPS 2023 MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer CVPR 2023 MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers NeurIPS 2023 MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers CVPR 2023 MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer ICLR 2023 MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer ICCV 2023 Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport ICLR 2023 MonoATT: Online Monocular 3D Object Detection With Adaptive Token Transformer CVPR 2023