NVlabs / NViTLinks
☆21Updated last year
Alternatives and similar repositories for NViT
Users that are interested in NViT are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- DeiT implementation for Q-ViT☆25Updated 2 months ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆93Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆45Updated 8 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆56Updated 2 years ago
- EQ-Net [ICCV 2023]☆29Updated last year
- [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer☆29Updated 6 months ago
- ☆45Updated last year
- ☆50Updated 9 months ago
- [ECCV 2024] Isomorphic Pruning for Vision Models☆69Updated 11 months ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆37Updated last year
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆33Updated 3 years ago
- The codebase for paper "PPT: Token Pruning and Pooling for Efficient Vision Transformer"☆23Updated 7 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆31Updated last year
- ☆27Updated 2 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆53Updated last year
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆39Updated 3 years ago
- ☆12Updated last year
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆54Updated 2 years ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 3 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Updated 2 years ago
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆96Updated last year
- ☆19Updated 3 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆91Updated last year
- ☆76Updated 2 years ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆15Updated 2 years ago
- ☆11Updated last year