zkkli / I-ViT
[ICCV 2023] I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
☆162Updated 4 months ago
Alternatives and similar repositories for I-ViT:
Users that are interested in I-ViT are comparing it to the libraries listed below
- [ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers☆119Updated last year
- [PR 2024] HTQ: Exploring the High-Dimensional Trade-Off of Mixed-Precision Quantization☆12Updated 6 months ago
- [ECCV 2022] Patch Similarity Aware Data-Free Quantization for Vision Transformers☆121Updated 2 years ago
- Post-Training Quantization for Vision transformers.☆201Updated 2 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆86Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- EQ-Net [ICCV 2023]☆27Updated last year
- LSQ+ or LSQplus☆61Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆115Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆54Updated 10 months ago
- DeiT implementation for Q-ViT☆24Updated 2 years ago
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket☆62Updated last year
- ☆74Updated 2 years ago
- TVM Relay IR Visualization Tool (TVM 可视化工具)☆60Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆39Updated 4 months ago
- [NeurIPS2022] Deep Model Reassembly☆255Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆121Updated 2 years ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆32Updated 11 months ago
- ☆34Updated last year
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆72Updated 7 months ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 2 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆12Updated last year
- ☆152Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆261Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆38Updated 4 years ago
- [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory☆64Updated last year
- (ICCV 2023) Official implementation of Rectified Straight Through Estimator (ReSTE).☆28Updated 4 months ago
- 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
- ☆13Updated last year