mit-han-lab / sparsevit
[CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
☆62Updated 9 months ago
Alternatives and similar repositories for sparsevit:
Users that are interested in sparsevit are comparing it to the libraries listed below
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆93Updated last year
- [CVPR 2023] Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference☆28Updated 11 months ago
- Official PyTorch implementation of Which Tokens to Use? Investigating Token Reduction in Vision Transformers presented at ICCV 2023 NIVT …☆33Updated last year
- ☆42Updated last year
- ☆12Updated last year
- [NeurIPS 2022] “M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design”, Hanxue …☆104Updated 2 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- [BMVC 2024] PlainMamba: Improving Non-hierarchical Mamba in Visual Recognition☆73Updated 6 months ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆41Updated 4 months ago
- This is the official pytorch implementation for the paper: *Quantformer: Learning Extremely Low-precision Vision Transformers*.☆22Updated 2 years ago
- ALGM applied to Segmenter☆20Updated 8 months ago
- [ECCV 2024] Isomorphic Pruning for Vision Models☆65Updated 6 months ago
- Official repository of InLine attention (NeurIPS 2024)☆39Updated last month
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆34Updated 8 months ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆86Updated last year
- [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".☆51Updated 2 years ago
- Official implementation of "SViT: Revisiting Token Pruning for Object Detection and Instance Segmentation"☆28Updated last year
- ☆31Updated last year
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆21Updated 10 months ago
- [NeurIPS'24]Efficient and accurate memory saving method towards W4A4 large multi-modal models.☆63Updated last month
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆32Updated last year
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆90Updated last year
- The codebase for paper "PPT: Token Pruning and Pooling for Efficient Vision Transformer"☆21Updated 3 months ago
- PyTorch code for Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆37Updated 5 months ago
- Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer☆71Updated 2 years ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆70Updated 2 years ago
- Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)☆98Updated 9 months ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆30Updated 2 years ago
- ☆26Updated 2 years ago