YingZhangDUT / Deep-Mutual-LearningLinks
TensorFlow Implementation of Deep Mutual Learning
☆321Updated 7 years ago
Alternatives and similar repositories for Deep-Mutual-Learning
Users that are interested in Deep-Mutual-Learning are comparing it to the libraries listed below
Sorting:
- Implementation of the mixup training method☆466Updated 6 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆242Updated 6 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆669Updated 2 years ago
- Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019☆401Updated 4 years ago
- Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf☆258Updated 5 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆255Updated 6 years ago
- FitNets: Hints for Thin Deep Nets☆207Updated 10 years ago
- A PyTorch implementation of center loss on MNIST☆360Updated 6 years ago
- Few shot learning☆155Updated 3 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆174Updated 3 years ago
- PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression☆58Updated 7 years ago
- Label Refinery: Improving ImageNet Classification through Label Progression☆278Updated 7 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)☆268Updated 6 years ago
- The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.☆620Updated 5 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆352Updated 6 years ago
- PyTorch implementation of bilinear CNN for fine-grained image recognition☆395Updated 5 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆212Updated 4 years ago
- Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"☆201Updated 6 years ago
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆219Updated 3 years ago
- center loss for face recognition☆178Updated 4 years ago
- A curated list of resources about few-shot and one-shot learning☆282Updated 6 years ago
- A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"☆145Updated 5 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 5 years ago
- The Pytorch Implementation of L-Softmax☆188Updated 6 years ago
- code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)☆269Updated last year
- An unofficial implementation of 《Deep Mutual Learning》 by Pytorch to do classification on cifar100.☆166Updated 4 years ago
- ☆219Updated 7 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆249Updated 7 years ago