42Shawn / CMIMLinks
The code for the Network Binarization via Contrastive Learning, which has been accepted to ECCV 2022.
☆14Updated 3 years ago
Alternatives and similar repositories for CMIM
Users that are interested in CMIM are comparing it to the libraries listed below
Sorting:
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆135Updated 3 years ago
- DeiT implementation for Q-ViT☆25Updated 7 months ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆100Updated 2 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆54Updated 2 years ago
- ☆78Updated 3 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆33Updated 2 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
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆35Updated last year
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆94Updated 2 years ago
- Structured Binary Neural Networks for Image Recognition☆18Updated 4 years ago
- ☆17Updated 3 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆138Updated 5 years ago
- Reproducing Quantization paper PACT☆64Updated 3 years ago
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket☆69Updated 2 years ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆18Updated 2 years ago
- Code for ICCV23 paper "Automatic network pruning via Hilbert Schmidt independence criterion lasso under information bottleneck principle"☆18Updated 2 years ago
- ☆12Updated 2 years ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆37Updated last year
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Updated 5 years ago
- ☆12Updated 2 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆14Updated 2 years ago
- ☆17Updated 3 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆124Updated last month
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆33Updated 3 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆44Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated 2 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 3 years ago