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Large-Scale Long-Tailed Recognition in an Open World
v1v2 (latest)

Large-Scale Long-Tailed Recognition in an Open World

10 April 2019
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
ArXiv (abs)PDFHTML

Papers citing "Large-Scale Long-Tailed Recognition in an Open World"

50 / 646 papers shown
Title
A Systematic Literature Review of Automated ICD Coding and
  Classification Systems using Discharge Summaries
A Systematic Literature Review of Automated ICD Coding and Classification Systems using Discharge Summaries
R. Kaur
J. A. Ginige
O. Obst
74
23
0
12 Jul 2021
Investigate the Essence of Long-Tailed Recognition from a Unified Perspective
Lei Liu
Li Liu
46
0
0
08 Jul 2021
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face
  Clustering
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering
Huafeng Yang
Qijie Shen
Xingjian Chen
Fangyi Zhang
R. Du
CVBM
78
0
0
06 Jul 2021
MSE Loss with Outlying Label for Imbalanced Classification
MSE Loss with Outlying Label for Imbalanced Classification
S. Kato
Kazuhiro Hotta
23
11
0
06 Jul 2021
On Model Calibration for Long-Tailed Object Detection and Instance
  Segmentation
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Tai-Yu Pan
Cheng Zhang
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
157
47
0
05 Jul 2021
Recovering the Unbiased Scene Graphs from the Biased Ones
Recovering the Unbiased Scene Graphs from the Biased Ones
Meng-Jiun Chiou
Henghui Ding
Hanshu Yan
Changhu Wang
Roger Zimmermann
Jiashi Feng
115
119
0
05 Jul 2021
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Zihao Zhang
Shaozuo Yu
Siwei Yang
Yu Zhou
Bingchen Zhao
90
11
0
28 Jun 2021
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial
  Networks
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks
Jun Zhuang
M. Hasan
19
7
0
28 Jun 2021
The Hitchhiker's Guide to Prior-Shift Adaptation
The Hitchhiker's Guide to Prior-Shift Adaptation
Tomas Sipka
Milan Šulc
Jirí Matas
VLM
60
16
0
22 Jun 2021
Teacher's pet: understanding and mitigating biases in distillation
Teacher's pet: understanding and mitigating biases in distillation
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Sanjiv Kumar
80
25
0
19 Jun 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
Jianfeng Wang
Thomas Lukasiewicz
Xiaolin Hu
Jianfei Cai
Zhenghua Xu
SyDa
91
87
0
18 Jun 2021
Class Balancing GAN with a Classifier in the Loop
Class Balancing GAN with a Classifier in the Loop
Harsh Rangwani
Konda Reddy Mopuri
R. Venkatesh Babu
48
19
0
17 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
154
66
0
10 Jun 2021
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local
  Descriptor Learning
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning
Jiayi Ma
Yuxin Deng
68
5
0
08 Jun 2021
Energy Aligning for Biased Models
Energy Aligning for Biased Models
Bowen Zhao
Chen Chen
Qi Ju
Shutao Xia
36
1
0
07 Jun 2021
Self-Damaging Contrastive Learning
Self-Damaging Contrastive Learning
Ziyu Jiang
Tianlong Chen
Bobak J. Mortazavi
Zhangyang Wang
CLL
77
71
0
06 Jun 2021
Independent Prototype Propagation for Zero-Shot Compositionality
Independent Prototype Propagation for Zero-Shot Compositionality
Frank Ruis
Gertjan J. Burghouts
Doina Bucur
73
56
0
01 Jun 2021
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient
  and Imbalanced Hyperspectral Image Classification
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
Qiqi Zhu
Weihuan Deng
Zhuo Zheng
Yanfei Zhong
Qingfeng Guan
Weihua Lin
Liangpei Zhang
Deren Li
76
126
0
29 May 2021
PLM: Partial Label Masking for Imbalanced Multi-label Classification
PLM: Partial Label Masking for Imbalanced Multi-label Classification
Kevin Duarte
Yogesh S Rawat
M. Shah
76
15
0
22 May 2021
Exemplar-Based Open-Set Panoptic Segmentation Network
Exemplar-Based Open-Set Panoptic Segmentation Network
Jaedong Hwang
Seoung Wug Oh
Joon-Young Lee
Bohyung Han
VLM
140
51
0
18 May 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of
  Recent Developments
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments
Xiaoxu Li
Xiaochen Yang
Zhanyu Ma
Jing-Hao Xue
VLM
108
127
0
17 May 2021
Disentangling Sampling and Labeling Bias for Learning in Large-Output
  Spaces
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces
A. S. Rawat
A. Menon
Wittawat Jitkrittum
Sadeep Jayasumana
Felix X. Yu
Sashank J. Reddi
Sanjiv Kumar
62
9
0
12 May 2021
VideoLT: Large-scale Long-tailed Video Recognition
VideoLT: Large-scale Long-tailed Video Recognition
Xing Zhang
Zuxuan Wu
Zejia Weng
Huazhu Fu
Jingjing Chen
Yu-Gang Jiang
Larry S. Davis
114
42
0
06 May 2021
Iterative Human and Automated Identification of Wildlife Images
Iterative Human and Automated Identification of Wildlife Images
Zhongqi Miao
Ziwei Liu
Kaitlyn M. Gaynor
M. Palmer
Stella X. Yu
W. Getz
106
49
0
05 May 2021
Semi-supervised Long-tailed Recognition using Alternate Sampling
Semi-supervised Long-tailed Recognition using Alternate Sampling
Bo Liu
Haoxiang Li
Hao Kang
Nuno Vasconcelos
G. Hua
56
6
0
01 May 2021
GistNet: a Geometric Structure Transfer Network for Long-Tailed
  Recognition
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition
Bo Liu
Haoxiang Li
Hao Kang
G. Hua
Nuno Vasconcelos
CVBM
71
39
0
01 May 2021
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed
  Recognition
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition
Bo Liu
Haoxiang Li
Hao Kang
G. Hua
Nuno Vasconcelos
75
14
0
01 May 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning
Faster Meta Update Strategy for Noise-Robust Deep Learning
Youjiang Xu
Linchao Zhu
Lu Jiang
Yi Yang
75
51
0
30 Apr 2021
Few-Shot Video Object Detection
Few-Shot Video Object Detection
Qi Fan
Chi-Keung Tang
Yu-Wing Tai
78
11
0
30 Apr 2021
Recognition and Processing of NATOM
Recognition and Processing of NATOM
Yipeng Deng
Yinhui Luo
AI4TS
37
0
0
29 Apr 2021
RelTransformer: A Transformer-Based Long-Tail Visual Relationship
  Recognition
RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition
Jun Chen
Aniket Agarwal
Sherif Abdelkarim
Deyao Zhu
Mohamed Elhoseiny
ViT
157
17
0
24 Apr 2021
Opening up Open-World Tracking
Opening up Open-World Tracking
Yang Liu
Idil Esen Zulfikar
Jonathon Luiten
Achal Dave
Deva Ramanan
Bastian Leibe
Aljosa Osep
Laura Leal-Taixé
114
54
0
22 Apr 2021
Relational Subsets Knowledge Distillation for Long-tailed Retinal
  Diseases Recognition
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
Lie Ju
Xin Wang
Lin Wang
Tongliang Liu
Xin Zhao
Tom Drummond
Dwarikanath Mahapatra
Z. Ge
87
43
0
22 Apr 2021
Balanced Knowledge Distillation for Long-tailed Learning
Balanced Knowledge Distillation for Long-tailed Learning
Shaoyu Zhang
Chen Chen
Xiyuan Hu
Silong Peng
155
61
0
21 Apr 2021
A novel three-stage training strategy for long-tailed classification
Gongzhe Li
Z. Tan
Li Pan
16
0
0
20 Apr 2021
DropLoss for Long-Tail Instance Segmentation
DropLoss for Long-Tail Instance Segmentation
Ting-I Hsieh
Esther Robb
Hwann-Tzong Chen
Jia-Bin Huang
65
50
0
13 Apr 2021
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition
Yan Zhao
Weicong Chen
Xu Tan
Kai Huang
Jihong Zhu
79
59
0
13 Apr 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for
  Long-Tailed Detection
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
Nadine Chang
Zhiding Yu
Yu-Xiong Wang
Anima Anandkumar
Sanja Fidler
J. Álvarez
135
39
0
12 Apr 2021
How Sensitive are Meta-Learners to Dataset Imbalance?
How Sensitive are Meta-Learners to Dataset Imbalance?
Mateusz Ochal
Massimiliano Patacchiola
Amos Storkey
Jose Vazquez
Sen Wang
79
3
0
12 Apr 2021
Class-Balanced Distillation for Long-Tailed Visual Recognition
Class-Balanced Distillation for Long-Tailed Visual Recognition
Ahmet Iscen
A. Araújo
Boqing Gong
Cordelia Schmid
128
36
0
12 Apr 2021
Unidentified Video Objects: A Benchmark for Dense, Open-World
  Segmentation
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
Weiyao Wang
Matt Feiszli
Heng Wang
Du Tran
VOS
89
127
0
10 Apr 2021
Distributional Robustness Loss for Long-tail Learning
Distributional Robustness Loss for Long-tail Learning
Dvir Samuel
Gal Chechik
OOD
113
100
0
07 Apr 2021
Adversarial Robustness under Long-Tailed Distribution
Adversarial Robustness under Long-Tailed Distribution
Tong Wu
Ziwei Liu
Qingqiu Huang
Yu Wang
Dahua Lin
89
77
0
06 Apr 2021
Procrustean Training for Imbalanced Deep Learning
Procrustean Training for Imbalanced Deep Learning
Han-Jia Ye
De-Chuan Zhan
Wei-Lun Chao
72
31
0
05 Apr 2021
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An
  Empirical Study
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Zhiqiang Shen
Zechun Liu
Dejia Xu
Zitian Chen
Kwang-Ting Cheng
Marios Savvides
84
76
0
01 Apr 2021
Improving Calibration for Long-Tailed Recognition
Improving Calibration for Long-Tailed Recognition
Zhisheng Zhong
Jiequan Cui
Shu Liu
Jiaya Jia
133
304
0
01 Apr 2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene
  Graph Generation
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Rongjie Li
Songyang Zhang
Bo Wan
Xuming He
272
221
0
01 Apr 2021
Adaptive Methods for Real-World Domain Generalization
Adaptive Methods for Real-World Domain Generalization
Abhimanyu Dubey
Vignesh Ramanathan
Alex Pentland
D. Mahajan
OOD
110
92
0
29 Mar 2021
Distilling Virtual Examples for Long-tailed Recognition
Distilling Virtual Examples for Long-tailed Recognition
Yingying He
Jianxin Wu
Xiu-Shen Wei
105
102
0
28 Mar 2021
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label
  Text Classification
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification
Irene Li
Aosong Feng
Hao Wu
Tianxiao Li
Toyotaro Suzumura
Ruihai Dong
61
10
0
26 Mar 2021
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