NVlabs / A-ViTLinks
Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)
☆166Updated 3 years ago
Alternatives and similar repositories for A-ViT
Users that are interested in A-ViT are comparing it to the libraries listed below
Sorting:
- Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations☆198Updated 2 years ago
- Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)☆105Updated last year
- [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".☆56Updated 3 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆109Updated 2 years ago
- Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"☆245Updated 3 years ago
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆105Updated 2 years ago
- [CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".☆250Updated 2 years ago
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆146Updated 2 years ago
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆84Updated 3 years ago
- ☆267Updated 3 years ago
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆84Updated last year
- TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)☆95Updated 3 years ago
- ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining☆97Updated 3 years ago
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆198Updated 3 years ago
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆57Updated 2 years ago
- Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer☆74Updated 3 years ago
- [AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"☆97Updated 3 years ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆193Updated 2 years ago
- Official implementation of the paper Vision Transformer with Progressive Sampling, ICCV 2021.☆153Updated 4 years ago
- MLP-Like Vision Permutator for Visual Recognition (PyTorch)☆192Updated 3 years ago
- Accelerating T2t-ViT by 1.6-3.6x.☆257Updated 4 years ago
- The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)☆142Updated 3 years ago
- Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”☆251Updated 5 months ago
- CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet☆224Updated 3 years ago
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆66Updated 10 months ago
- Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"☆66Updated 3 years ago
- [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning☆289Updated 3 years ago
- ☆196Updated 2 years ago
- Official codes for ConMIM (ICLR 2023)☆58Updated 3 years ago
- A Close Look at Spatial Modeling: From Attention to Convolution☆92Updated 3 years ago