VITA-Group / M3ViT
[NeurIPS 2022] “M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design”, Hanxue Liang*, Zhiwen Fan*, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
☆101Updated 2 years ago
Alternatives and similar repositories for M3ViT:
Users that are interested in M3ViT are comparing it to the libraries listed below
- ☆42Updated 4 months ago
- ☆42Updated last year
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆92Updated last year
- Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer☆71Updated 2 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆85Updated last year
- [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".☆50Updated 2 years ago
- [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer☆61Updated 8 months ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆30Updated 2 years ago
- ☆12Updated last year
- The codebase for paper "PPT: Token Pruning and Pooling for Efficient Vision Transformer"☆20Updated 2 months ago
- Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)☆152Updated 2 years ago
- Recent Advances on Efficient Vision Transformers☆49Updated 2 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆38Updated 3 months ago
- Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations☆173Updated last year
- ☆26Updated 2 years ago
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆39Updated 2 weeks ago
- Official PyTorch implementation of Which Tokens to Use? Investigating Token Reduction in Vision Transformers presented at ICCV 2023 NIVT …☆33Updated last year
- [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.☆101Updated 2 weeks ago
- ☆17Updated 2 years ago
- Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)☆97Updated 8 months ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆50Updated last year
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆65Updated last year
- [ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.☆30Updated 2 weeks ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆53Updated 10 months ago
- Code for "DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets", accepted at Neurips 2023 (Main confer…☆21Updated 9 months ago
- [Neurips 2022] “ Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropogation”, Ziyu Jiang*, Xuxi Chen*, Xueqin Huan…☆19Updated last year
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket☆61Updated last year
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆90Updated last year
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆33Updated 11 months ago