ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.05160
  4. Cited By
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
Contrastive Learning based Hybrid Networks for Long-Tailed Image
  Classification
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
Peng Wang
Kai Han
Xiu-Shen Wei
Lei Zhang
Lei Wang
SSL
113
241
0
26 Mar 2021
Contrasting Contrastive Self-Supervised Representation Learning
  Pipelines
Contrasting Contrastive Self-Supervised Representation Learning Pipelines
Klemen Kotar
Gabriel Ilharco
Ludwig Schmidt
Kiana Ehsani
Roozbeh Mottaghi
SSL
119
46
0
25 Mar 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
Shuang Li
Kaixiong Gong
Chi Harold Liu
Yulin Wang
Feng Qiao
Xinjing Cheng
101
155
0
23 Mar 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning
Detecting Human-Object Interaction via Fabricated Compositional Learning
Zhi Hou
B. Yu
Yu Qiao
Xiaojiang Peng
Dacheng Tao
133
99
0
15 Mar 2021
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
M. Faraki
Xiang Yu
Yi-Hsuan Tsai
Yumin Suh
Manmohan Chandraker
CVBMOOD
76
26
0
12 Mar 2021
Towards Open World Object Detection
Towards Open World Object Detection
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
116
464
0
03 Mar 2021
PML: Progressive Margin Loss for Long-tailed Age Classification
PML: Progressive Margin Loss for Long-tailed Age Classification
Zongyong Deng
Hao Liu
Yaoxing Wang
Chenyang Wang
Zekuan Yu
Xuehong Sun
53
58
0
03 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under
  Overparameterization
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Ganesh Ramachandra Kini
Orestis Paraskevas
Samet Oymak
Christos Thrampoulidis
129
96
0
02 Mar 2021
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed
  Instance Segmentation
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
Yuhang Zang
Chen Huang
Chen Change Loy
115
117
0
25 Feb 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image
  Segmentation
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation
Zeju Li
Konstantinos Kamnitsas
Ben Glocker
SSegUQCV
98
130
0
20 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
127
266
0
18 Feb 2021
Delving into Deep Imbalanced Regression
Delving into Deep Imbalanced Regression
Yuzhe Yang
Kaiwen Zha
Ying-Cong Chen
Hongya Wang
Dina Katabi
103
270
0
18 Feb 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize
  Long-Tail Visual Concepts
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Soravit Changpinyo
P. Sharma
Nan Ding
Radu Soricut
VLM
570
1,143
0
17 Feb 2021
Model-Agnostic Graph Regularization for Few-Shot Learning
Model-Agnostic Graph Regularization for Few-Shot Learning
Ethan Shen
Maria Brbic
Nicholas Monath
Jiaqi Zhai
Manzil Zaheer
J. Leskovec
63
3
0
14 Feb 2021
Evaluating Large-Vocabulary Object Detectors: The Devil is in the
  Details
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details
Achal Dave
Piotr Dollár
Deva Ramanan
A. Kirillov
Ross B. Girshick
ObjDVLM
94
53
0
01 Feb 2021
ResLT: Residual Learning for Long-tailed Recognition
ResLT: Residual Learning for Long-tailed Recognition
Jiequan Cui
Shu Liu
Zhuotao Tian
Zhisheng Zhong
Jiaya Jia
90
136
0
26 Jan 2021
Does Head Label Help for Long-Tailed Multi-Label Text Classification
Does Head Label Help for Long-Tailed Multi-Label Text Classification
Lin Xiao
Xiangliang Zhang
L. Jing
Chi Huang
Mingyang Song
VLM
73
62
0
24 Jan 2021
Few-Shot Learning with Class Imbalance
Few-Shot Learning with Class Imbalance
Mateusz Ochal
Massimiliano Patacchiola
Amos Storkey
Jose Vazquez
Sen Wang
113
37
0
07 Jan 2021
Generalized Relation Learning with Semantic Correlation Awareness for
  Link Prediction
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
Yao Zhang
Xu Zhang
Jun Wang
Hongru Liang
Wenqiang Lei
Zhe Sun
Adam Jatowt
Zhenglu Yang
95
17
0
22 Dec 2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute
  Servers
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj
Zhengxu Xia
Ganesh Ananthanarayanan
Junchen Jiang
Nikolaos Karianakis
Yuanchao Shu
Kevin Hsieh
P. Bahl
Ion Stoica
79
169
0
19 Dec 2020
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed
  Object Detection
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
Jingru Tan
Xin Lu
Gang Zhang
Changqing Yin
Quanquan Li
VLM
73
170
0
15 Dec 2020
Attentional-Biased Stochastic Gradient Descent
Attentional-Biased Stochastic Gradient Descent
Q. Qi
Yi Tian Xu
Rong Jin
W. Yin
Tianbao Yang
ODL
84
12
0
13 Dec 2020
One for More: Selecting Generalizable Samples for Generalizable ReID
  Model
One for More: Selecting Generalizable Samples for Generalizable ReID Model
Enwei Zhang
Xinyang Jiang
Hao Cheng
Ancong Wu
Fufu Yu
Ke Li
Xiao-Wei Guo
Feng Zheng
Weishi Zheng
Xing Sun
152
16
0
10 Dec 2020
Disentangling Label Distribution for Long-tailed Visual Recognition
Disentangling Label Distribution for Long-tailed Visual Recognition
Youngkyu Hong
Seungju Han
Kwanghee Choi
Seokjun Seo
Beomsu Kim
Buru Chang
91
238
0
01 Dec 2020
A Review of Open-World Learning and Steps Toward Open-World Learning
  Without Labels
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels
Mohsen Jafarzadeh
A. Dhamija
Steve Cruz
Chunchun Li
T. Ahmad
Terrance E. Boult
VLMOffRL
89
9
0
25 Nov 2020
Supercharging Imbalanced Data Learning With Energy-based Contrastive
  Representation Transfer
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Zidi Xiu
Junya Chen
Ricardo Henao
B. Goldstein
Lawrence Carin
Chenyang Tao
68
10
0
25 Nov 2020
Automatic Open-World Reliability Assessment
Automatic Open-World Reliability Assessment
Mohsen Jafarzadeh
T. Ahmad
A. Dhamija
Chunchun Li
Steve Cruz
Terrance E. Boult
146
11
0
11 Nov 2020
Towards Resolving the Challenge of Long-tail Distribution in UAV Images
  for Object Detection
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
Weiping Yu
Taojiannan Yang
Chong Chen
66
92
0
07 Nov 2020
Learning Open Set Network with Discriminative Reciprocal Points
Learning Open Set Network with Discriminative Reciprocal Points
Guangyao Chen
Limeng Qiao
Yemin Shi
Peixi Peng
Jia Li
Tiejun Huang
Shiliang Pu
Yonghong Tian
UQCVEDL
61
196
0
31 Oct 2020
Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a
  Class-imbalance View
Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View
Yangyang Guo
Liqiang Nie
Zhiyong Cheng
Q. Tian
Min Zhang
116
70
0
30 Oct 2020
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
Taotao Jing
Bingrong Xu
Jingjing Li
Zhengming Ding
TTA
68
14
0
23 Oct 2020
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image
  Segmentation on Unseen Datasets
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Shujun Wang
Lequan Yu
Kang Li
Xin Yang
Chi-Wing Fu
Pheng-Ann Heng
84
138
0
13 Oct 2020
Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
Saptarshi Sinha
Hiroki Ohashi
Katsuyuki Nakamura
64
38
0
05 Oct 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang
Long Lian
Zhongqi Miao
Ziwei Liu
Stella X. Yu
148
394
0
05 Oct 2020
Data-Efficient Pretraining via Contrastive Self-Supervision
Data-Efficient Pretraining via Contrastive Self-Supervision
Nils Rethmeier
Isabelle Augenstein
120
21
0
02 Oct 2020
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene
  classification
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification
Haifeng Li
Zhenqi Cui
Zhiqiang Zhu
Lixing Chen
Jiawei Zhu
Haozhe Huang
Chao Tao
92
93
0
28 Sep 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad
  Momentum Causal Effect
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang
Jianqiang Huang
Hanwang Zhang
CML
114
448
0
28 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
93
105
0
08 Sep 2020
Few-Shot Hyperspectral Image Classification With Unknown Classes Using
  Multitask Deep Learning
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning
Shengjie Liu
Q. Shi
Lefei Zhang
VLM
55
181
0
08 Sep 2020
Background Splitting: Finding Rare Classes in a Sea of Background
Background Splitting: Finding Rare Classes in a Sea of Background
Ravi Teja Mullapudi
Fait Poms
W. Mark
Deva Ramanan
Kayvon Fatahalian
VLM
91
10
0
28 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSLVLM
76
59
0
26 Aug 2020
Seesaw Loss for Long-Tailed Instance Segmentation
Seesaw Loss for Long-Tailed Instance Segmentation
Jiaqi Wang
Wenwei Zhang
Yuhang Zang
Yuhang Cao
Jiangmiao Pang
Tao Gong
Kai-xiang Chen
Ziwei Liu
Chen Change Loy
Dahua Lin
129
240
0
23 Aug 2020
Few-Shot Learning with Intra-Class Knowledge Transfer
Few-Shot Learning with Intra-Class Knowledge Transfer
Vivek Roy
Yan Xu
Yu-Xiong Wang
Kris Kitani
Ruslan Salakhutdinov
M. Hebert
VLM
59
3
0
22 Aug 2020
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data
  with Diversity In Memory
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory
Jialun Liu
Jingwei Zhang
Yi yang
Wenhui Li
Fangqiu Yi
Yifan Sun
84
41
0
22 Aug 2020
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced
  Models
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models
Tong Wang
Selen Pehlivan
Jorma T. Laaksonen
112
34
0
18 Aug 2020
AlphaNet: Improving Long-Tail Classification By Combining Classifiers
AlphaNet: Improving Long-Tail Classification By Combining Classifiers
Nadine Chang
Jayanth Koushik
Aarti Singh
M. Hebert
Yu-Xiong Wang
Michael J. Tarr
66
0
0
17 Aug 2020
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance
  Segmentation
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
Jialian Wu
Liangchen Song
Tiancai Wang
Qian Zhang
Junsong Yuan
ObjD
82
74
0
13 Aug 2020
Unsupervised Feature Learning by Cross-Level Instance-Group
  Discrimination
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
Xudong Wang
Ziwei Liu
Stella X. Yu
SSL
85
77
0
09 Aug 2020
Feature Space Augmentation for Long-Tailed Data
Feature Space Augmentation for Long-Tailed Data
Peng Chu
Xiao Bian
Shaopeng Liu
Haibin Ling
96
244
0
09 Aug 2020
Meta Feature Modulator for Long-tailed Recognition
Meta Feature Modulator for Long-tailed Recognition
Renzhen Wang
Kaiqin Hu
Yanwen Zhu
Jun Shu
Qian Zhao
Deyu Meng
98
12
0
08 Aug 2020
Previous
123...111213
Next