bohanzhuang / Group-Net-semantic-segmentationLinks
Structured Binary Neural Networks for Image Recognition
☆16Updated 3 years ago
Alternatives and similar repositories for Group-Net-semantic-segmentation
Users that are interested in Group-Net-semantic-segmentation are comparing it to the libraries listed below
Sorting:
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆61Updated 4 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆65Updated 4 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 4 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Updated 4 years ago
- Pack XNOR modules☆20Updated 6 years ago
- An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.☆48Updated last year
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆18Updated 6 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- ☆17Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆23Updated 4 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆20Updated 4 years ago
- Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)☆35Updated 4 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
- The code for Joint Neural Architecture Search and Quantization☆14Updated 6 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 4 years ago
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆82Updated 4 years ago
- ☆20Updated 2 years ago
- Self-Distribution BNN☆10Updated 3 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Updated 4 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Updated 5 years ago
- Code for AdaXpert (ICML'21)☆16Updated 4 years ago
- TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)☆75Updated 4 years ago
- [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
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15Updated 3 years ago
- Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)☆25Updated 5 years ago
- [ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"☆33Updated 4 years ago
- Pytorch implementation (TPAMI 2023) - Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion☆18Updated 3 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆25Updated 5 years ago
- Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions☆34Updated 5 years ago