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Large-Scale Long-Tailed Recognition in an Open World

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
ArXivPDFHTML

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

50 / 636 papers shown
Title
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
27
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
ObjD
VLM
13
52
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
18
127
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
37
56
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
26
35
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
12
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
27
163
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
22
167
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
31
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
20
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
22
230
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
VLM
OffRL
33
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
10
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
26
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
25
90
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
UQCV
EDL
17
189
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
19
69
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
24
13
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
6
131
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
16
36
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
36
380
0
05 Oct 2020
Data-Efficient Pretraining via Contrastive Self-Supervision
Data-Efficient Pretraining via Contrastive Self-Supervision
Nils Rethmeier
Isabelle Augenstein
23
20
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
L. Chen
Jiawei Zhu
Haozhe Huang
Chao Tao
31
91
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
20
437
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
27
101
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
27
175
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
37
9
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
SSL
VLM
21
58
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
10
233
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
24
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
Chi Zhang
Yifan Sun
28
39
0
22 Aug 2020
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced
  Models
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models
T. Wang
Selen Pehlivan
Jorma T. Laaksonen
29
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
37
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
24
72
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
20
76
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
41
238
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
16
12
0
08 Aug 2020
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
25
181
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
170
552
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
32
81
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
13
45
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
22
228
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
65
686
0
14 Jul 2020
Remix: Rebalanced Mixup
Remix: Rebalanced Mixup
Hsin-Ping Chou
Shih-Chieh Chang
Jia-Yu Pan
Wei Wei
Da-Cheng Juan
36
231
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
17
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
49
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
28
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
42
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
46
184
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
33
44
0
17 Jun 2020
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