Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization
☆15Sep 13, 2022Updated 3 years ago
Alternatives and similar repositories for FDDA
Users that are interested in FDDA are comparing it to the libraries listed below
Sorting:
- super-resolution; post-training quantization; model compression☆14Nov 10, 2023Updated 2 years ago
- ☆14Oct 6, 2023Updated 2 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆30Sep 13, 2022Updated 3 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆36Mar 2, 2022Updated 4 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 5 years ago
- Neural Network Quantization With Fractional Bit-widths☆11Feb 19, 2021Updated 5 years ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆34Dec 12, 2021Updated 4 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆55Jul 23, 2023Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- ☆13Jun 16, 2024Updated last year
- FreeEnricher: Enriching Face Landmarks without Additional Cost [Official, AAAI 2023]☆18Dec 2, 2024Updated last year
- ☆36Mar 29, 2023Updated 2 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Nov 4, 2021Updated 4 years ago
- pruning vision models in torch☆17Dec 5, 2025Updated 3 months ago
- [ICCV 23]This is a Pytorch implementation of our paper "SMMix: Self-Motivated Image Mixing for Vision Transformers"☆16Jul 14, 2023Updated 2 years ago
- AAAI2023 Efficient and Accurate Models towards Practical Deep Learning Baseline☆13Nov 29, 2022Updated 3 years ago
- Crawl & visualize ICLR papers and reviews.☆18Nov 5, 2022Updated 3 years ago
- ☆17Jul 10, 2022Updated 3 years ago
- ☆22Oct 27, 2024Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆128Sep 23, 2025Updated 5 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Oct 5, 2022Updated 3 years ago
- [ECCV 2022] Patch Similarity Aware Data-Free Quantization for Vision Transformers☆123Dec 22, 2022Updated 3 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆290Aug 1, 2021Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93May 5, 2022Updated 3 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Sep 15, 2022Updated 3 years ago
- BitSplit Post-trining Quantization☆50Dec 20, 2021Updated 4 years ago
- Post-Training Quantization for Vision transformers.☆238Jul 19, 2022Updated 3 years ago
- Distilling the powerful segment anything models into lightweight ones for efficient segmentation.☆30Apr 27, 2023Updated 2 years ago
- Personal Digest of NAS (Under Construction 🛠)☆25Nov 24, 2020Updated 5 years ago
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆28Feb 7, 2023Updated 3 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆25Oct 14, 2020Updated 5 years ago
- Code of ICCV23 paper: Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection☆29Oct 16, 2023Updated 2 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆31Sep 3, 2022Updated 3 years ago
- DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)☆32Apr 8, 2023Updated 2 years ago
- Vstream - Video Analytics pipeline with Hardware based accelerations (dev - stage)☆10Feb 2, 2024Updated 2 years ago
- [ICML 2024] Sparse Model Inversion: Efficient Inversion of Vision Transformers with Less Hallucination☆13Apr 29, 2025Updated 10 months ago
- [ICCV 2023] I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference☆200Sep 2, 2024Updated last year
- provide some new architecture, channel pruning and quantization methods for yolov5☆31Oct 13, 2025Updated 4 months ago
- ☆30Nov 23, 2023Updated 2 years ago