YuanWanglll's repositories
few-shot-meta-baseline
A New Meta-Baseline for Few-Shot Learning
clustersim
Cluster simulator with far memory
classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
awesome-imbalanced-learning
A curated list of awesome imbalanced learning papers, codes, frameworks and libraries. | 类别不平衡学习：论文/代码/框架/库
ObjectDetectionImbalance
Lists the papers related to imbalance problems in object detection
iTAML
Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
l2b
Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
DGI
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
PlantVillage-Dataset
Dataset of diseased plant leaf images and corresponding labels
OpenLongTailRecognition-OLTR
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
meta-dataset
A dataset of datasets for learning to learn from few examples
FEAT
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Real-World-Masked-Face-Dataset
Real-World Masked Face Dataset，口罩人脸数据集
inc-few-shot-attractor-public
Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"
meta-weight-net
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
tgg-pytorch
The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".
masf
Domain Generalization via Model-Agnostic Learning of Semantic Features
SSL-FEW-SHOT
SSL-FEW-SHOT
CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
RPSnet
Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
BF3S
Boosting Few-Shot Visual Learning with Self-Supervision
Episodic-DG
This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
self-supervised-da
self-supervised domain adaptation
vae
a simple vae and cvae from keras
MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
learning-data-manipulation
NIPS19, Learning Data Manipulation for Augmentation and Weighting
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3