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"

46 / 646 papers shown
Title
Visual Compositional Learning for Human-Object Interaction Detection
Visual Compositional Learning for Human-Object Interaction Detection
Zhi Hou
Xiaojiang Peng
Yu Qiao
Dacheng Tao
VLM
103
184
0
24 Jul 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
223
576
0
21 Jul 2020
Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating
  Source Separation
Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation
Hang Zhou
Xudong Xu
Dahua Lin
Xiaogang Wang
Ziwei Liu
DiffM
82
84
0
20 Jul 2020
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Tz-Ying Wu
Pedro Morgado
Pei Wang
Chih-Hui Ho
Nuno Vasconcelos
58
46
0
20 Jul 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed
  Datasets
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
Tong Wu
Qingqiu Huang
Ziwei Liu
Yu Wang
Dahua Lin
97
231
0
19 Jul 2020
Long-tail learning via logit adjustment
Long-tail learning via logit adjustment
A. Menon
Sadeep Jayasumana
A. S. Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
132
716
0
14 Jul 2020
Remix: Rebalanced Mixup
Remix: Rebalanced Mixup
Hsin-Ping Chou
Shih-Chieh Chang
Jia-Yu Pan
Wei Wei
Da-Cheng Juan
120
237
0
08 Jul 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
Matthew Wallingford
Aditya Kusupati
Keivan Alizadeh Vahid
Aaron Walsman
Aniruddha Kembhavi
Ali Farhadi
70
2
0
06 Jul 2020
Similarity Search for Efficient Active Learning and Search of Rare
  Concepts
Similarity Search for Efficient Active Learning and Search of Rare Concepts
Cody Coleman
Edward Chou
Julian Katz-Samuels
Sean Culatana
Peter Bailis
Alexander C. Berg
Robert Nowak
Roshan Sumbaly
Matei A. Zaharia
I. Z. Yalniz
90
42
0
30 Jun 2020
Heteroskedastic and Imbalanced Deep Learning with Adaptive
  Regularization
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Kaidi Cao
Yining Chen
Junwei Lu
Nikos Arechiga
Adrien Gaidon
Tengyu Ma
100
68
0
29 Jun 2020
ELF: An Early-Exiting Framework for Long-Tailed Classification
ELF: An Early-Exiting Framework for Long-Tailed Classification
Rahul Duggal
Scott Freitas
Sunny Dhamnani
Duen Horng Chau
Jimeng Sun
94
30
0
22 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan
Jiahao Xie
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
OOD
123
189
0
18 Jun 2020
An Online Method for A Class of Distributionally Robust Optimization
  with Non-Convex Objectives
An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives
Qi Qi
Zhishuai Guo
Yi Tian Xu
Rong Jin
Tianbao Yang
117
47
0
17 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang
Zhi Xu
SSL
131
414
0
13 Jun 2020
Knowledge Distillation Meets Self-Supervision
Knowledge Distillation Meets Self-Supervision
Guodong Xu
Ziwei Liu
Xiaoxiao Li
Chen Change Loy
FedML
129
288
0
12 Jun 2020
Few-Shot Open-Set Recognition using Meta-Learning
Few-Shot Open-Set Recognition using Meta-Learning
Bo Liu
Hao Kang
Haoxiang Li
G. Hua
Nuno Vasconcelos
BDLEDL
68
93
0
27 May 2020
Visual Relationship Detection using Scene Graphs: A Survey
Visual Relationship Detection using Scene Graphs: A Survey
Aniket Agarwal
Ayush Mangal
Vipul
GNN
70
21
0
16 May 2020
A Review of Computer Vision Methods in Network Security
A Review of Computer Vision Methods in Network Security
Jiawei Zhao
Rahat Masood
Suranga Seneviratne
AAML
52
48
0
07 May 2020
From Generalized zero-shot learning to long-tail with class descriptors
From Generalized zero-shot learning to long-tail with class descriptors
Dvir Samuel
Yuval Atzmon
Gal Chechik
VLM
70
1
0
05 Apr 2020
M2m: Imbalanced Classification via Major-to-minor Translation
M2m: Imbalanced Classification via Major-to-minor Translation
Jaehyung Kim
Jongheon Jeong
Jinwoo Shin
107
225
0
01 Apr 2020
Domain Balancing: Face Recognition on Long-Tailed Domains
Domain Balancing: Face Recognition on Long-Tailed Domains
Dong Cao
Xiangyu Zhu
Xingyu Huang
Jianzhu Guo
Zhen Lei
CVBM
105
71
0
30 Mar 2020
Exploring Long Tail Visual Relationship Recognition with Large
  Vocabulary
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary
Sherif Abdelkarim
Aniket Agarwal
Panos Achlioptas
Jun Chen
Jiaji Huang
Boyang Albert Li
Kenneth Church
Mohamed Elhoseiny
VLM
143
18
0
25 Mar 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition
  from a Domain Adaptation Perspective
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
Muhammad Abdullah Jamal
Matthew A. Brown
Ming-Hsuan Yang
Liqiang Wang
Boqing Gong
143
267
0
24 Mar 2020
Normalized and Geometry-Aware Self-Attention Network for Image
  Captioning
Normalized and Geometry-Aware Self-Attention Network for Image Captioning
Longteng Guo
Jing Liu
Xinxin Zhu
Peng Yao
Shichen Lu
Hanqing Lu
ViT
206
192
0
19 Mar 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
329
466
0
11 Mar 2020
Incremental Few-Shot Object Detection
Incremental Few-Shot Object Detection
Juan-Manuel Perez-Rua
Xiatian Zhu
Timothy M. Hospedales
Tao Xiang
ObjDCLL
72
218
0
10 Mar 2020
Deconfounded Image Captioning: A Causal Retrospect
Deconfounded Image Captioning: A Causal Retrospect
Xu Yang
Hanwang Zhang
Jianfei Cai
CML
79
127
0
09 Mar 2020
Captioning Images with Novel Objects via Online Vocabulary Expansion
Captioning Images with Novel Objects via Online Vocabulary Expansion
Mikihiro Tanaka
Tatsuya Harada
3DV
83
2
0
06 Mar 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention
Few-Shot Few-Shot Learning and the role of Spatial Attention
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
SSL
65
7
0
18 Feb 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for
  Long-tailed Classification
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Liuyu Xiang
Guiguang Ding
Jungong Han
134
287
0
06 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep
  Learning
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Han-Jia Ye
Hong-You Chen
De-Chuan Zhan
Wei-Lun Chao
138
102
0
06 Jan 2020
Learning and Memorizing Representative Prototypes for 3D Point Cloud
  Semantic and Instance Segmentation
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
Tong He
Dong Gong
Zhi Tian
Chunhua Shen
3DV
116
39
0
06 Jan 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the
  People Subtree in the ImageNet Hierarchy
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
Kaiyu Yang
Klint Qinami
Li Fei-Fei
Jia Deng
Olga Russakovsky
136
325
0
16 Dec 2019
To Balance or Not to Balance: A Simple-yet-Effective Approach for
  Learning with Long-Tailed Distributions
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions
Junjie Zhang
Lingqiao Liu
Peng Wang
Chunhua Shen
68
25
0
10 Dec 2019
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
348
806
0
05 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning
Adjusting Decision Boundary for Class Imbalanced Learning
Byungju Kim
Junmo Kim
155
76
0
04 Dec 2019
Identifying Unknown Instances for Autonomous Driving
Identifying Unknown Instances for Autonomous Driving
K. Wong
Shenlong Wang
Mengye Ren
Ming Liang
R. Urtasun
139
112
0
24 Oct 2019
Class-imbalanced Domain Adaptation: An Empirical Odyssey
Class-imbalanced Domain Adaptation: An Empirical Odyssey
Shuhan Tan
Xingchao Peng
Kate Saenko
OOD
67
11
0
23 Oct 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
184
1,225
0
21 Oct 2019
Generalized Zero-shot ICD Coding
Generalized Zero-shot ICD Coding
Congzheng Song
Shanghang Zhang
Najmeh Sadoughi
P. Xie
Eric Xing
VLMMedIm
51
7
0
28 Sep 2019
Open Compound Domain Adaptation
Open Compound Domain Adaptation
Ziwei Liu
Zhongqi Miao
Xingang Pan
Xiaohang Zhan
Dahua Lin
Stella X. Yu
Boqing Gong
96
132
0
08 Sep 2019
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
103
96
0
06 Jul 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
141
1,617
0
18 Jun 2019
Task-Aware Feature Generation for Zero-Shot Compositional Learning
Task-Aware Feature Generation for Zero-Shot Compositional Learning
Xin Wang
Feng Yu
Trevor Darrell
Joseph E. Gonzalez
VLMCoGe
49
16
0
11 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
120
59
0
07 Jun 2019
Recent Advances in Open Set Recognition: A Survey
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDLObjD
191
777
0
21 Nov 2018
Previous
123...111213