andyrull / width-and-Depth-pruning-for-Vision-TransformerLinks
☆20Updated 3 years ago
Alternatives and similar repositories for width-and-Depth-pruning-for-Vision-Transformer
Users that are interested in width-and-Depth-pruning-for-Vision-Transformer are comparing it to the libraries listed below
Sorting:
- ☆48Updated 2 years ago
- ☆13Updated 2 years ago
- ☆53Updated 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…☆89Updated 2 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆55Updated 2 years ago
- The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…☆20Updated 2 years ago
- The codebase for paper "PPT: Token Pruning and Pooling for Efficient Vision Transformer"☆28Updated last year
- Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer☆74Updated 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
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34Updated 2 years ago
- ☆28Updated 3 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆77Updated 3 years ago
- [NeurIPS 2022] “M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design”, Hanxue …☆137Updated 3 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆73Updated 3 years ago
- Recent Advances on Efficient Vision Transformers☆55Updated 3 years ago
- Official Pytorch implementation of Super Vision Transformer (IJCV)☆43Updated 2 years ago
- [NeurIPS 2024] Search for Efficient LLMs☆16Updated last year
- [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".☆56Updated 3 years ago
- ☆28Updated 2 years ago
- [ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers☆34Updated last year
- Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"☆66Updated 3 years ago
- ☆23Updated 3 years ago
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆76Updated 2 years ago
- ☆22Updated 4 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆41Updated 5 months ago
- Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)☆166Updated 3 years ago
- Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)☆105Updated last year
- [CVPR 2023] Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference☆30Updated last year
- PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]☆19Updated last year
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆36Updated 3 years ago