Rorozhl / CA-MKDLinks
This is the implementation for the ICASSP-2022 paper (Confidence-Aware Multi-Teacher Knowledge Distillation).
☆59Updated 3 years ago
Alternatives and similar repositories for CA-MKD
Users that are interested in CA-MKD are comparing it to the libraries listed below
Sorting:
- [CVPR 2023] Federated Domain Generalization with Generalization Adjustment☆47Updated 2 years ago
- This is the implementation for the ICME-2023 paper (Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning).☆26Updated 2 years ago
- Feature Fusion for Online Mutual Knowledge Distillation Code☆26Updated 4 years ago
- The offical implement of ImbSAM (Imbalanced-SAM)☆24Updated last year
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆58Updated 2 years ago
- [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning☆29Updated last year
- A simple reimplement Online Knowledge Distillation via Collaborative Learning with pytorch☆49Updated 2 years ago
- Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023)☆37Updated last year
- PyTorch Implementation of Robust Classification with Convolutional Prototype Learning☆67Updated 5 years ago
- Semi-Supervised Domain Generalization☆22Updated 10 months ago
- Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowl…☆116Updated 2 years ago
- AMTML-KD: Adaptive Multi-teacher Multi-level Knowledge Distillation☆59Updated 4 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data（ICCV2023）☆20Updated last year
- ☆12Updated last year
- ☆126Updated 4 years ago
- ☆49Updated last year
- ☆15Updated 2 years ago
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆48Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated last year
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆76Updated 4 years ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆116Updated last year
- [TPAMI-2023] Official implementations of L-MCL: Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition☆24Updated last year
- ☆58Updated 2 years ago
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆41Updated last month
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆101Updated last year
- [AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".☆75Updated 10 months ago
- Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”☆97Updated 2 years ago
- A pytorch implementation for "Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation", which is accepted by CVPR2021.☆32Updated last year
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆59Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆93Updated 3 years ago