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Decoupling Representation and Classifier for Long-Tailed Recognition

Decoupling Representation and Classifier for Long-Tailed Recognition

21 October 2019
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
    OODD
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Papers citing "Decoupling Representation and Classifier for Long-Tailed Recognition"

50 / 657 papers shown
Title
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
34
117
0
20 Oct 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with
  Empirical Baseline Study
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Xin Xu
Xiang Chen
Ningyu Zhang
Xin Xie
Xi Chen
Huajun Chen
29
10
0
19 Oct 2022
Temporal Action Segmentation: An Analysis of Modern Techniques
Temporal Action Segmentation: An Analysis of Modern Techniques
Guodong Ding
Fadime Sener
Angela Yao
45
74
0
19 Oct 2022
Understanding CNN Fragility When Learning With Imbalanced Data
Understanding CNN Fragility When Learning With Imbalanced Data
Damien Dablain
Kristen N. Jacobson
C. Bellinger
Mark Roberts
Nitesh V. Chawla
29
39
0
17 Oct 2022
Boosting Offline Reinforcement Learning via Data Rebalancing
Boosting Offline Reinforcement Learning via Data Rebalancing
Yang Yue
Bingyi Kang
Xiao Ma
Zhongwen Xu
Gao Huang
Shuicheng Yan
OffRL
18
22
0
17 Oct 2022
Improving the Intra-class Long-tail in 3D Detection via Rare Example
  Mining
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining
C. Jiang
Mahyar Najibi
C. Qi
Yin Zhou
Drago Anguelov
21
20
0
15 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Q. Qi
Shervin Ardeshir
Yi Tian Xu
Tianbao Yang
40
0
0
12 Oct 2022
Stochastic Constrained DRO with a Complexity Independent of Sample Size
Stochastic Constrained DRO with a Complexity Independent of Sample Size
Q. Qi
Jiameng Lyu
Kung-Sik Chan
E. Bai
Tianbao Yang
50
15
0
11 Oct 2022
Improving Long-tailed Object Detection with Image-Level Supervision by
  Multi-Task Collaborative Learning
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
Bo-wen Li
Yongqiang Yao
Jingru Tan
Xin Lu
F. Yu
Ye Luo
Jianwei Lu
VLM
30
0
0
11 Oct 2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object
  Recognition
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
Jingru Tan
Bo-wen Li
Xin Lu
Yongqiang Yao
F. Yu
Tong He
Wanli Ouyang
41
8
0
11 Oct 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
48
12
0
11 Oct 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain
  Few-Shot Learning
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning
Yu Fu
Yu Xie
Yanwei Fu
Jingjing Chen
Yu-Gang Jiang
24
15
0
11 Oct 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-xiong Wang
Deva Ramanan
Shu Kong
CLL
36
9
0
10 Oct 2022
Deep object detection for waterbird monitoring using aerial imagery
Deep object detection for waterbird monitoring using aerial imagery
Krish Kabra
Alexander Xiong
Wenbin Li
Minxuan Luo
William Lu
...
Tianjiao Yu
Hank Arnold
Anna C Vallery
Richard E. Gibbons
Arko Barman
21
6
0
10 Oct 2022
A Survey of Methods for Addressing Class Imbalance in Deep-Learning
  Based Natural Language Processing
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing
Sophie Henning
William H. Beluch
Alexander Fraser
Annemarie Friedrich
14
20
0
10 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised
  Class-imbalanced Text Classification
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
Linxin Song
Jieyu Zhang
Tianxiang Yang
M. Goto
20
3
0
06 Oct 2022
LPT: Long-tailed Prompt Tuning for Image Classification
LPT: Long-tailed Prompt Tuning for Image Classification
Bowen Dong
Pan Zhou
Shuicheng Yan
W. Zuo
VPVLM
VLM
59
54
0
03 Oct 2022
Long-Tailed Class Incremental Learning
Long-Tailed Class Incremental Learning
Xialei Liu
Yu-Song Hu
Xuezhi Cao
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
65
35
0
01 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph
  Representation Learning
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Chunhui Zhang
Chao Huang
Yijun Tian
Qianlong Wen
Z. Ouyang
Youhuan Li
Yanfang Ye
Chuxu Zhang
19
6
0
01 Oct 2022
IMB-NAS: Neural Architecture Search for Imbalanced Datasets
IMB-NAS: Neural Architecture Search for Imbalanced Datasets
Rahul Duggal
ShengYun Peng
Hao Zhou
Duen Horng Chau
8
2
0
30 Sep 2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual
  Learning
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning
Yanyan Liang
Wu-Jun Li
CLL
16
8
0
23 Sep 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang
Mingxuan Xia
Yixuan Li
Yuren Mao
Lei Feng
Gang Chen
J. Zhao
51
38
0
21 Sep 2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug
  Discovery
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery
Lanqing Li
Li Zeng
Zi-Chao Gao
Shen Yuan
Yatao Bian
...
Wei Liu
Hongteng Xu
Jia Li
P. Zhao
Pheng-Ann Heng
VLM
26
4
0
16 Sep 2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
CLL
47
41
0
15 Sep 2022
Data Augmentation by Selecting Mixed Classes Considering Distance
  Between Classes
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes
Shungo Fujii
Yasunori Ishii
Kazuki Kozuka
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
44
2
0
12 Sep 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
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed
  Recognition
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition
Saptarshi Sinha
Hiroki Ohashi
19
6
0
07 Sep 2022
Robust and Efficient Imbalanced Positive-Unlabeled Learning with
  Self-supervision
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision
Emilio Dorigatti
J. Schweisthal
Bernd Bischl
Mina Rezaei
OOD
21
2
0
06 Sep 2022
MIME: Minority Inclusion for Majority Group Enhancement of AI
  Performance
MIME: Minority Inclusion for Majority Group Enhancement of AI Performance
Pradyumna Chari
Yunhao Ba
Shreeram S. Athreya
A. Kadambi
24
3
0
01 Sep 2022
Combating Noisy Labels in Long-Tailed Image Classification
Combating Noisy Labels in Long-Tailed Image Classification
Chaowei Fang
Lechao Cheng
Huiyan Qi
Dingwen Zhang
NoLa
17
2
0
01 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration
Federated Learning with Label Distribution Skew via Logits Calibration
Jie M. Zhang
Zhiqi Li
Bo-wen Li
Jianghe Xu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
15
140
0
01 Sep 2022
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical
  Image Classification
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification
Zhixiong Yang
Junwen Pan
Yanzhan Yang
Xiaozhou Shi
Hong-Yu Zhou
Zhicheng Zhang
Cheng Bian
VLM
MedIm
AI4TS
17
27
0
01 Sep 2022
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of
  Wild Animals in Camera-Trap Images
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images
Jeongsoo Kim
Sangmin Woo
Byeongjun Park
Changick Kim
25
2
0
31 Aug 2022
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New
  Benchmark Study
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
G. Holste
Song Wang
Ziyu Jiang
Thomas C. Shen
George Shih
Ronald M. Summers
Yifan Peng
Zhangyang Wang
LM&MA
41
37
0
29 Aug 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap
  Coefficient for Long-tailed Learning
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
Hualiang Wang
Siming Fu
Xiaoxuan He
Han Fang
Zuozhu Liu
Haoji Hu
32
17
0
22 Aug 2022
Improving GANs for Long-Tailed Data through Group Spectral
  Regularization
Improving GANs for Long-Tailed Data through Group Spectral Regularization
Harsh Rangwani
Naman Jaswani
Tejan Karmali
Varun Jampani
R. Venkatesh Babu
21
21
0
21 Aug 2022
Label-Noise Learning with Intrinsically Long-Tailed Data
Label-Noise Learning with Intrinsically Long-Tailed Data
Yang Lu
Yiliang Zhang
Bo Han
Y. Cheung
Hanzi Wang
NoLa
48
17
0
21 Aug 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
43
18
0
17 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label
  Meta-learning
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
D. Hoang
Cuong C. Nguyen
Cuong Nguyen anh Belagiannis Vasileios
G. Carneiro
25
2
0
17 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
Combating Label Distribution Shift for Active Domain Adaptation
Combating Label Distribution Shift for Active Domain Adaptation
S. Hwang
Sohyun Lee
Sungyeon Kim
Jungseul Ok
Suha Kwak
27
18
0
13 Aug 2022
Imbalance Trouble: Revisiting Neural-Collapse Geometry
Imbalance Trouble: Revisiting Neural-Collapse Geometry
Christos Thrampoulidis
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
24
68
0
10 Aug 2022
Sample hardness based gradient loss for long-tailed cervical cell
  detection
Sample hardness based gradient loss for long-tailed cervical cell detection
Minmin Liu
Xuechen Li
Xiang Gao
Junliang Chen
Linlin Shen
Huisi Wu
MedIm
27
4
0
07 Aug 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced
  Classification
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
D. Guo
Zhuo Li
Meixi Zheng
He Zhao
Mingyuan Zhou
H. Zha
37
24
0
05 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
Few-Shot Class-Incremental Learning from an Open-Set Perspective
Few-Shot Class-Incremental Learning from an Open-Set Perspective
Can Peng
Kun-li Zhao
Tianren Wang
Meng Li
Brian C. Lovell
CLL
17
88
0
30 Jul 2022
Class-Difficulty Based Methods for Long-Tailed Visual Recognition
Class-Difficulty Based Methods for Long-Tailed Visual Recognition
Saptarshi Sinha
Hiroki Ohashi
Katsuyuki Nakamura
21
30
0
29 Jul 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Renzhen Wang
Xixi Jia
Quanziang Wang
Yichen Wu
Deyu Meng
25
16
0
28 Jul 2022
Iterative Scene Graph Generation
Iterative Scene Graph Generation
Siddhesh Khandelwal
Leonid Sigal
OCL
19
29
0
27 Jul 2022
Identifying Hard Noise in Long-Tailed Sample Distribution
Identifying Hard Noise in Long-Tailed Sample Distribution
Xuanyu Yi
Kaihua Tang
Xiansheng Hua
J. Lim
Hanwang Zhang
22
23
0
27 Jul 2022
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