ziplab / LIT
[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"
☆94Updated 2 years ago
Alternatives and similar repositories for LIT:
Users that are interested in LIT are comparing it to the libraries listed below
- (AAAI 2023 Oral) Pytorch implementation of "CF-ViT: A General Coarse-to-Fine Method for Vision Transformer"☆103Updated last year
- Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer☆71Updated 2 years ago
- [ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"☆33Updated 3 years ago
- [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".☆51Updated 2 years ago
- This is an unofficial implementation of BOAT: Bilateral Local Attention Vision Transformer☆54Updated 2 years ago
- Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)☆98Updated 9 months ago
- [ICLR'22] This is an official implementation for "AS-MLP: An Axial Shifted MLP Architecture for Vision".☆126Updated 2 years ago
- Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP.☆35Updated 2 years ago
- Official Pytorch implementation of Super Vision Transformer (IJCV)☆43Updated last year
- [TPAMI 2024] This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.☆111Updated last year
- This is code of paper "ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer"☆26Updated last year
- The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration☆86Updated 2 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆103Updated last year
- TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)☆93Updated 2 years ago
- ☆57Updated 3 years ago
- Adaptive Split-Fusion Transformer (ICME 2023 Oral)