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RSG: A Simple but Effective Module for Learning Imbalanced Datasets

RSG: A Simple but Effective Module for Learning Imbalanced Datasets

18 June 2021
Jianfeng Wang
Thomas Lukasiewicz
Xiaolin Hu
Jianfei Cai
Zhenghua Xu
    SyDa
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Papers citing "RSG: A Simple but Effective Module for Learning Imbalanced Datasets"

50 / 51 papers shown
Title
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
Chen Shu
Mengke Li
Yiqun Zhang
Yang Lu
Bo Han
Yiu-ming Cheung
Hanzi Wang
NoLa
65
0
0
14 Mar 2025
Prior2Posterior: Model Prior Correction for Long-Tailed Learning
Prior2Posterior: Model Prior Correction for Long-Tailed Learning
S Divakar Bhat
Amit More
Mudit Soni
Surbhi Agrawal
79
0
0
21 Dec 2024
An Architectural Approach to Enhance Deep Long-Tailed Learning
An Architectural Approach to Enhance Deep Long-Tailed Learning
Yuhan Pan
Yanan Sun
Wei Gong
26
0
0
09 Nov 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
59
0
0
02 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Naoya Hasegawa
Issei Sato
38
0
0
26 Sep 2024
A Systematic Review on Long-Tailed Learning
A Systematic Review on Long-Tailed Learning
Chongsheng Zhang
G. Almpanidis
Gaojuan Fan
Binquan Deng
Yanbo Zhang
Ji Liu
Aouaidjia Kamel
Paolo Soda
Joao Gama
29
7
0
01 Aug 2024
Adaptive Parametric Activation
Adaptive Parametric Activation
Konstantinos Panagiotis Alexandridis
Jiankang Deng
Anh Nguyen
Shan Luo
41
2
0
11 Jul 2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Divin Yan
Lu Qi
Vincent Tao Hu
Ming-Hsuan Yang
Meng Tang
34
5
0
16 Feb 2024
Geometric Prior Guided Feature Representation Learning for Long-Tailed
  Classification
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification
Yanbiao Ma
Licheng Jiao
F. Liu
Shuyuan Yang
Xu Liu
Puhua Chen
25
10
0
21 Jan 2024
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan
Gengchen Wei
Chen Yang
Shengzhong Zhang
Zengfeng Huang
AI4CE
44
11
0
28 Oct 2023
Orthogonal Uncertainty Representation of Data Manifold for Robust
  Long-Tailed Learning
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning
Yanbiao Ma
Licheng Jiao
Fang Liu
Shuyuan Yang
Xu Liu
Lingling Li
OOD
31
7
0
16 Oct 2023
Long-Tailed Classification Based on Coarse-Grained Leading Forest and
  Multi-Center Loss
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss
Jinye Yang
Ji Xu
Di Wu
Jianhang Tang
Shaobo Li
Guoyin Wang
32
0
0
12 Oct 2023
Survey on Imbalanced Data, Representation Learning and SEP Forecasting
Survey on Imbalanced Data, Representation Learning and SEP Forecasting
Josias Moukpe
AI4TS
24
0
0
11 Oct 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient
  Balancer
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
Zikai Xiao
Zihan Chen
Songshan Liu
Hualiang Wang
Yang Feng
Jinxiang Hao
Qiufeng Wang
Jian Wu
Howard H. Yang
Zuo-Qiang Liu
FedML
29
10
0
11 Oct 2023
A dual-branch model with inter- and intra-branch contrastive loss for
  long-tailed recognition
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition
Qiong Chen
Tianlin Huang
Geren Zhu
Enlu Lin
MQ
18
11
0
28 Sep 2023
Dual Compensation Residual Networks for Class Imbalanced Learning
Dual Compensation Residual Networks for Class Imbalanced Learning
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
30
5
0
25 Aug 2023
Uniformly Distributed Category Prototype-Guided Vision-Language
  Framework for Long-Tail Recognition
Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition
Siming Fu
Xiaoxuan He
Xinpeng Ding
Yuchen Cao
Hualiang Wang
VLM
27
6
0
24 Aug 2023
Ensemble Modeling for Multimodal Visual Action Recognition
Ensemble Modeling for Multimodal Visual Action Recognition
Jyoti Kini
Sarah Fleischer
I. Dave
M. Shah
28
1
0
10 Aug 2023
Hierarchical Visual Primitive Experts for Compositional Zero-Shot
  Learning
Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning
H. Kim
Jiyoung Lee
S. Park
Kwanghoon Sohn
CoGe
34
11
0
08 Aug 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node
  Classification
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
22
24
0
16 Jun 2023
Exploring Weight Balancing on Long-Tailed Recognition Problem
Exploring Weight Balancing on Long-Tailed Recognition Problem
Naoya Hasegawa
Issei Sato
24
6
0
26 May 2023
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
Mengke Li
Y. Cheung
Yang Lu
Zhikai Hu
Weichao Lan
Hui Huang
37
5
0
18 May 2023
Towards Effective Collaborative Learning in Long-Tailed Recognition
Towards Effective Collaborative Learning in Long-Tailed Recognition
Zhengzhuo Xu
Zenghao Chai
Chengying Xu
Chun Yuan
Haiqin Yang
18
4
0
05 May 2023
Class-Balancing Diffusion Models
Class-Balancing Diffusion Models
Yiming Qin
Huangjie Zheng
Jiangchao Yao
Mingyuan Zhou
Ya-Qin Zhang
DiffM
27
42
0
30 Apr 2023
MvCo-DoT:Multi-View Contrastive Domain Transfer Network for Medical
  Report Generation
MvCo-DoT:Multi-View Contrastive Domain Transfer Network for Medical Report Generation
Ruizhi Wang
Xiang-Fei Wang
Zhenghua Xu
Wenting Xu
Junyang Chen
Thomas Lukasiewicz
13
5
0
15 Apr 2023
Exploring Vision-Language Models for Imbalanced Learning
Exploring Vision-Language Models for Imbalanced Learning
Yidong Wang
Zhuohao Yu
Jindong Wang
Qiang Heng
Haoxing Chen
Wei Ye
Rui Xie
Xingxu Xie
Shi-Bo Zhang
VLM
33
30
0
04 Apr 2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with
  Knowledge Excavation
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation
Yang Jin
Mengke Li
Yang Lu
Y. Cheung
Hanzi Wang
35
21
0
03 Apr 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the
  Long-Tail
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
39
12
0
31 Mar 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of
  Perceptual Manifolds
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
Yanbiao Ma
Licheng Jiao
F. Liu
Maoji Wen
Lingling Li
Wenping Ma
Shuyuan Yang
Xu Liu
Puhua Chen
36
5
0
22 Mar 2023
UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced
  Node Classification
UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification
Liang Yan
Shengzhong Zhang
Bisheng Li
Min Zhou
Zengfeng Huang
30
4
0
18 Mar 2023
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based
  Self-Supervised Medical Image Segmentation
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation
Xiang-Fei Wang
Ruizhi Wang
Biao Tian
Jiaojiao Zhang
Shuo Zhang
Junyang Chen
Thomas Lukasiewicz
Zhenghua Xu
24
1
0
27 Feb 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node
  Classification
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
Mengting Zhou
Zhiguo Gong
10
19
0
24 Feb 2023
Multi-Head Feature Pyramid Networks for Breast Mass Detection
Multi-Head Feature Pyramid Networks for Breast Mass Detection
Hexiang Zhang
Zhenghua Xu
Dan Yao
Shuo Zhang
Junyang Chen
Thomas Lukasiewicz
16
3
0
22 Feb 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong
Jiangchao Yao
Zhihan Zhou
Ya-Qin Zhang
Yanfeng Wang
18
26
0
10 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Jianfeng Wang
Xiaolin Hu
Thomas Lukasiewicz
AAML
BDL
30
0
0
31 Jan 2023
Learning Imbalanced Data with Vision Transformers
Learning Imbalanced Data with Vision Transformers
Zhengzhuo Xu
R. Liu
Shuo Yang
Zenghao Chai
Chun Yuan
37
32
0
05 Dec 2022
Inverse Image Frequency for Long-tailed Image Recognition
Inverse Image Frequency for Long-tailed Image Recognition
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
S. Zafeiriou
46
9
0
11 Sep 2022
Personalizing Intervened Network for Long-tailed Sequential User
  Behavior Modeling
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
Zheqi Lv
Feng Wang
Shengyu Zhang
Kun Kuang
Hongxia Yang
Fei Wu
34
8
0
19 Aug 2022
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer
A. S. Rawat
Seungyeon Kim
Chong You
Himanshu Jain
Andreas Veit
Rob Fergus
Surinder Kumar
VLM
16
2
0
14 Aug 2022
Constructing Balance from Imbalance for Long-tailed Image Recognition
Constructing Balance from Imbalance for Long-tailed Image Recognition
Yue Xu
Yong-Lu Li
Jiefeng Li
Cewu Lu
CVBM
27
29
0
04 Aug 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Jae-gyun Song
Joonhyung Park
Eunho Yang
31
52
0
26 Jun 2022
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Zhisheng Zhong
Jiequan Cui
Zeming Li
Eric Lo
Jian Sun
Jiaya Jia
SSL
15
4
0
22 Mar 2022
BatchFormer: Learning to Explore Sample Relationships for Robust
  Representation Learning
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
Zhi Hou
B. Yu
Dacheng Tao
ViT
49
59
0
03 Mar 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive
  Feature Generation
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation
Zihan Zhang
Xiang Xiang
VLM
22
2
0
28 Feb 2022
Margin Calibration for Long-Tailed Visual Recognition
Margin Calibration for Long-Tailed Visual Recognition
Yidong Wang
Bowen Zhang
Wenxin Hou
Zhen Wu
Jindong Wang
T. Shinozaki
MQ
8
27
0
14 Dec 2021
Long-tail Recognition via Compositional Knowledge Transfer
Long-tail Recognition via Compositional Knowledge Transfer
Sarah Parisot
P. Esperança
Steven G. McDonagh
T. Madarász
Yongxin Yang
Zhenguo Li
20
25
0
13 Dec 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A Survey
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
18
558
0
09 Oct 2021
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
253
782
0
05 Dec 2019
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
189
351
0
12 Jun 2018
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
237
446
0
28 Nov 2016
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