Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2309.16135
Cited By
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition
28 September 2023
Qiong Chen
Tianlin Huang
Geren Zhu
Enlu Lin
MQ
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition"
23 / 23 papers shown
Title
Long-Tailed Recognition via Weight Balancing
Shaden Alshammari
Yu-Xiong Wang
Deva Ramanan
Shu Kong
MQ
91
146
0
27 Mar 2022
Cyclical Focal Loss
L. Smith
60
14
0
16 Feb 2022
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Tianhong Li
Peng Cao
Yuan. Yuan
Lijie Fan
Yuzhe Yang
Rogerio Feris
Piotr Indyk
Dina Katabi
95
182
0
27 Nov 2021
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park
Jongin Lim
Younghan Jeon
J. Choi
CVBM
128
136
0
06 Oct 2021
Parametric Contrastive Learning
Jiequan Cui
Zhisheng Zhong
Shu Liu
Bei Yu
Jiaya Jia
89
281
0
26 Jul 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
Jianfeng Wang
Thomas Lukasiewicz
Xiaolin Hu
Jianfei Cai
Zhenghua Xu
SyDa
83
87
0
18 Jun 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
Shuang Li
Kaixiong Gong
Chi Harold Liu
Yulin Wang
Feng Qiao
Xinjing Cheng
73
155
0
23 Mar 2021
ResLT: Residual Learning for Long-tailed Recognition
Jiequan Cui
Shu Liu
Zhuotao Tian
Zhisheng Zhong
Jiaya Jia
77
134
0
26 Jan 2021
Disentangling Label Distribution for Long-tailed Visual Recognition
Youngkyu Hong
Seungju Han
Kwanghee Choi
Seokjun Seo
Beomsu Kim
Buru Chang
60
238
0
01 Dec 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang
Long Lian
Zhongqi Miao
Ziwei Liu
Stella X. Yu
110
391
0
05 Oct 2020
Long-tail learning via logit adjustment
A. Menon
Sadeep Jayasumana
A. S. Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
125
712
0
14 Jul 2020
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
387
18,866
0
13 Feb 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Liuyu Xiang
Guiguang Ding
Jungong Han
82
286
0
06 Jan 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
293
802
0
05 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
213
12,124
0
13 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
180
1,222
0
21 Oct 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
127
1,607
0
18 Jun 2019
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
151
1,163
0
10 Apr 2019
Cross-domain attribute representation based on convolutional neural network
Guohui Zhang
Gaoyuan Liang
Fang Su
Fanxin Qu
Jingyan Wang
OOD
24
27
0
17 May 2018
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
301
9,811
0
25 Oct 2017
Survey of resampling techniques for improving classification performance in unbalanced datasets
Ajinkya More
66
218
0
22 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
350
8,174
0
13 Aug 2016
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
388
25,691
0
09 Jun 2011
1