LTH14 / FSKD
☆29Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for FSKD
- ☆9Updated 3 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆89Updated 2 years ago
- Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)☆31Updated 4 years ago
- The implementation of AAAI 2021 Paper: "Progressive Network Grafting for Few-Shot Knowledge Distillation".☆31Updated 4 months ago
- Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.☆30Updated 4 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆63Updated 3 years ago
- ☆47Updated 4 years ago
- Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method☆24Updated 4 years ago
- This is the implementaion of paper "Task-Oriented Feature Distillation"☆42Updated 2 years ago
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆62Updated last year
- Code for ViTAS_Vision Transformer Architecture Search☆52Updated 3 years ago
- [AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".☆74Updated 3 months ago
- ☆56Updated 3 years ago
- An efficient implementation for ImageNet classification☆16Updated 4 years ago
- A PyTorch Implementation of Feature Boosting and Suppression☆16Updated 4 years ago
- ☆58Updated 2 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆51Updated 3 years ago
- Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models☆32Updated last year
- [TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, …☆104Updated 2 years ago
- Code and pretrained models for paper: Data-Free Adversarial Distillation☆95Updated last year
- PyTorch implementation for GAL.☆55Updated 4 years ago
- Reproduction of "How Does Batch Normalization Help Optimization?" paper☆20Updated 5 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆43Updated 2 years ago
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆89Updated 3 years ago
- ☆60Updated 4 years ago
- Official PyTorch implementation of PS-KD☆82Updated 2 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆23Updated 4 years ago
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76Updated 5 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆149Updated 2 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…☆90Updated 11 months ago