Pinned Repositories
AREA
BBN
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
BCL
[ICML2022] Contrastive Learning with Boosted Memorization
classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
cnn_finetune
Fine-tune CNN in Keras
DRO-LT
Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
gitskills
inat_comp
iNaturalist competition details
ISDA-for-Deep-Networks
An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
RISDA
Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
xiaohua-chen's Repositories
xiaohua-chen/RISDA
Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
xiaohua-chen/AREA
xiaohua-chen/inat_comp
iNaturalist competition details
xiaohua-chen/BBN
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
xiaohua-chen/BCL
[ICML2022] Contrastive Learning with Boosted Memorization
xiaohua-chen/classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
xiaohua-chen/cnn_finetune
Fine-tune CNN in Keras
xiaohua-chen/DRO-LT
Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
xiaohua-chen/gitskills
xiaohua-chen/ISDA-for-Deep-Networks
An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
xiaohua-chen/LDAM-DRW
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
xiaohua-chen/learngit
xiaohua-chen/Long-Tailed-Recognition.pytorch
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.
xiaohua-chen/NCL
[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022
xiaohua-chen/ProtoPNet
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
xiaohua-chen/test
test
xiaohua-chen/xiangmu