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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
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed
  Recognition
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition
Enhao Zhang
Chuanxing Geng
Songcan Chen
35
2
0
26 Jul 2022
Density-Aware Personalized Training for Risk Prediction in Imbalanced
  Medical Data
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data
Zepeng Huo
Xiaoning Qian
Shuai Huang
Zhangyang Wang
Bobak J. Mortazavi
OOD
14
3
0
23 Jul 2022
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Konstantinos Panagiotis Alexandridis
Jiankang Deng
A. Nguyen
Shang Luo
35
22
0
22 Jul 2022
Tackling Long-Tailed Category Distribution Under Domain Shifts
Tackling Long-Tailed Category Distribution Under Domain Shifts
Xiao Gu
Yao Guo
Zeju Li
Jianing Qiu
Qianming Dou
Yuxuan Liu
Benny Lo
Guangxu Yang
OOD
45
12
0
20 Jul 2022
The Anatomy of Video Editing: A Dataset and Benchmark Suite for
  AI-Assisted Video Editing
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing
Dawit Mureja Argaw
Fabian Caba Heilbron
Joon-Young Lee
Markus Woodson
In So Kweon
VGen
50
22
0
20 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification
Invariant Feature Learning for Generalized Long-Tailed Classification
Kaihua Tang
Mingyuan Tao
Jiaxin Qi
Zhenguang Liu
Hanwang Zhang
VLM
29
52
0
19 Jul 2022
SphereFed: Hyperspherical Federated Learning
SphereFed: Hyperspherical Federated Learning
Xin Dong
S. Zhang
Ang Li
H. T. Kung
FedML
47
19
0
19 Jul 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Jianggang Zhu
Zhilin Wang
Jingjing Chen
Yi-Ping Phoebe Chen
Yueping Jiang
24
167
0
19 Jul 2022
Learning Discriminative Representation via Metric Learning for
  Imbalanced Medical Image Classification
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification
Chenghua Zeng
Huijuan Lu
Kanghao Chen
Ruixuan Wang
Weishi Zheng
26
2
0
14 Jul 2022
Efficient Augmentation for Imbalanced Deep Learning
Efficient Augmentation for Imbalanced Deep Learning
Damien Dablain
C. Bellinger
Bartosz Krawczyk
Nitesh V. Chawla
30
7
0
13 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Yingsong Huang
Bing Bai
Shengwei Zhao
Kun Bai
Fei-Yue Wang
NoLa
28
43
0
12 Jul 2022
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image
  Classification
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification
Kanghao Chen
Weixian Lei
Rong Zhang
Shen Zhao
Weishi Zheng
Ruixuan Wang
OOD
11
20
0
11 Jul 2022
Chairs Can be Stood on: Overcoming Object Bias in Human-Object
  Interaction Detection
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection
Guangzhi Wang
Yangyang Guo
Yongkang Wong
Mohan S. Kankanhalli
31
10
0
06 Jul 2022
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation
  for Long-Tailed Visual Recognition
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
J. Baik
In Young Yoon
J. Choi
18
10
0
05 Jul 2022
Solutions for Fine-grained and Long-tailed Snake Species Recognition in
  SnakeCLEF 2022
Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022
Cheng Zou
Furong Xu
Meng Wang
Wenqi Li
Yuan Cheng
26
6
0
04 Jul 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution
  Detection in Long-Tailed Recognition
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
Haotao Wang
Aston Zhang
Yi Zhu
Shuai Zheng
Mu Li
Alexander J. Smola
Zhangyang Wang
OODD
140
48
0
04 Jul 2022
Test-time Adaptation with Calibration of Medical Image Classification
  Nets for Label Distribution Shift
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
Wenao Ma
Cheng Chen
Shuang Zheng
Jin Qin
Huimao Zhang
Qi Dou
OOD
126
19
0
02 Jul 2022
Multi-Granularity Regularized Re-Balancing for Class Incremental
  Learning
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning
Huitong Chen
Yu Wang
Q. Hu
CLL
27
16
0
30 Jun 2022
Towards Federated Long-Tailed Learning
Towards Federated Long-Tailed Learning
Zihan Chen
Songshan Liu
Hualiang Wang
Howard H. Yang
Tony Q. S. Quek
Zuozhu Liu
FedML
23
10
0
30 Jun 2022
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical
  Image Classification
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
Nannan Wu
Li Yu
Xin Yang
Kwang-Ting Cheng
Zengqiang Yan
FedML
32
19
0
28 Jun 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
Bag of Tricks for Long-Tail Visual Recognition of Animal Species in
  Camera-Trap Images
Bag of Tricks for Long-Tail Visual Recognition of Animal Species in Camera-Trap Images
Fagner Cunha
E. M. Santos
J. Colonna
23
14
0
24 Jun 2022
Deformable CNN and Imbalance-Aware Feature Learning for Singing
  Technique Classification
Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification
Yuya Yamamoto
Juhan Nam
Hiroko Terasawa
24
8
0
24 Jun 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations
Prototype-Anchored Learning for Learning with Imperfect Annotations
Xiong Zhou
Xianming Liu
Deming Zhai
Junjun Jiang
Xin Gao
Xiangyang Ji
14
2
0
23 Jun 2022
Learning Towards the Largest Margins
Learning Towards the Largest Margins
Xiong Zhou
Xianming Liu
Deming Zhai
Junjun Jiang
Xin Gao
Xiangyang Ji
22
12
0
23 Jun 2022
Open Vocabulary Object Detection with Proposal Mining and Prediction
  Equalization
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
Peixian Chen
Kekai Sheng
Mengdan Zhang
Mingbao Lin
Yunhang Shen
Shaohui Lin
Bo Ren
Ke Li
VLM
ObjD
39
27
0
22 Jun 2022
Demystifying the Base and Novel Performances for Few-shot
  Class-incremental Learning
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning
Jaehoon Oh
Se-Young Yun
CLL
26
0
0
18 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution
  Shift?
How Robust is Unsupervised Representation Learning to Distribution Shift?
Yuge Shi
Imant Daunhawer
Julia E. Vogt
Philip H. S. Torr
Amartya Sanyal
OOD
32
25
0
17 Jun 2022
A Comparative Study of Confidence Calibration in Deep Learning: From
  Computer Vision to Medical Imaging
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
Riqiang Gao
Thomas Z. Li
Yucheng Tang
Zhoubing Xu
M. Kammer
S. Antic
K. Sandler
Fabien Maldonado
Thomas A. Lasko
Bennett Landman
OOD
25
1
0
17 Jun 2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing
  Long-tailed datasets
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
Hongxin Wei
Lue Tao
Renchunzi Xie
Lei Feng
Bo An
OODD
28
37
0
17 Jun 2022
Learning Imbalanced Datasets with Maximum Margin Loss
Learning Imbalanced Datasets with Maximum Margin Loss
Haeyong Kang
Thang Vu
Chang D. Yoo
21
18
0
11 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition
Balanced Product of Calibrated Experts for Long-Tailed Recognition
Emanuel Sanchez Aimar
Arvi Jonnarth
M. Felsberg
Marco Kuhlmann
15
22
0
10 Jun 2022
Is Self-Supervised Learning More Robust Than Supervised Learning?
Is Self-Supervised Learning More Robust Than Supervised Learning?
Yuanyi Zhong
Haoran Tang
Jun-Kun Chen
Jian-wei Peng
Yu-xiong Wang
SSL
OOD
25
24
0
10 Jun 2022
Masked Autoencoders are Robust Data Augmentors
Masked Autoencoders are Robust Data Augmentors
Haohang Xu
Shuangrui Ding
Xiaopeng Zhang
H. Xiong
35
27
0
10 Jun 2022
Semi-Supervised Learning for Mars Imagery Classification and
  Segmentation
Semi-Supervised Learning for Mars Imagery Classification and Segmentation
Wenjing Wang
Lilang Lin
Zejia Fan
Jiaying Liu
SSL
23
10
0
05 Jun 2022
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to
  Better Classify Objects in Videos
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos
Sukjun Hwang
Miran Heo
Seoung Wug Oh
Seon Joo Kim
VOT
24
6
0
05 Jun 2022
Long-tailed Recognition by Learning from Latent Categories
Long-tailed Recognition by Learning from Latent Categories
Weide Liu
Zhonghua Wu
Yiming Wang
Henghui Ding
Fayao Liu
Jie Lin
Guosheng Lin
43
5
0
02 Jun 2022
Hyperspherical Consistency Regularization
Hyperspherical Consistency Regularization
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
33
25
0
02 Jun 2022
RankSim: Ranking Similarity Regularization for Deep Imbalanced
  Regression
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Yu Gong
Greg Mori
Frederick Tung
19
44
0
30 May 2022
Bayesian Robust Graph Contrastive Learning
Bayesian Robust Graph Contrastive Learning
Yancheng Wang
Yingzhen Yang
OOD
23
1
0
27 May 2022
A Survey on Long-Tailed Visual Recognition
A Survey on Long-Tailed Visual Recognition
Lu Yang
He Jiang
Q. Song
Jun Guo
13
123
0
27 May 2022
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data
Tong Wei
Qianqian Liu
Jiang-Xin Shi
Wei-Wei Tu
Lan-Zhe Guo
31
14
0
26 May 2022
Contrastive Learning with Boosted Memorization
Contrastive Learning with Boosted Memorization
Zhihan Zhou
Jiangchao Yao
Yanfeng Wang
Bo Han
Ya-Qin Zhang
SSL
20
29
0
25 May 2022
Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for
  Imbalanced Data Classification
Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Data Classification
Liang Xu
Yi Cheng
Fan Zhang
Bingxuan Wu
Pengfei Shao
Peng Liu
Shuwei Shen
Peng Yao
Ronald X.Xu
24
1
0
24 May 2022
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node
  Classification
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
Liang Zeng
Lanqing Li
Zi-Chao Gao
P. Zhao
Jian Li
27
22
0
23 May 2022
Learning Muti-expert Distribution Calibration for Long-tailed Video
  Classification
Learning Muti-expert Distribution Calibration for Long-tailed Video Classification
Yufan Hu
Junyu Gao
Changsheng Xu
19
4
0
22 May 2022
Making Pretrained Language Models Good Long-tailed Learners
Making Pretrained Language Models Good Long-tailed Learners
Chen Zhang
Lei Ren
Jingang Wang
Wei Yu Wu
Dawei Song
RALM
VLM
20
8
0
11 May 2022
Generalized Knowledge Distillation via Relationship Matching
Generalized Knowledge Distillation via Relationship Matching
Han-Jia Ye
Su Lu
De-Chuan Zhan
FedML
22
20
0
04 May 2022
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated
  Distillation
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation
Xinyi Shang
Yang Lu
Y. Cheung
Hanzi Wang
FedML
30
32
0
30 Apr 2022
ELM: Embedding and Logit Margins for Long-Tail Learning
ELM: Embedding and Logit Margins for Long-Tail Learning
Wittawat Jitkrittum
A. Menon
A. S. Rawat
Surinder Kumar
29
11
0
27 Apr 2022
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