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Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed
  Datasets
v1v2v3v4 (latest)

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

European Conference on Computer Vision (ECCV), 2020
19 July 2020
Tong Wu
Qingqiu Huang
Ziwei Liu
Yu Wang
Dahua Lin
ArXiv (abs)PDFHTMLGithub (368★)

Papers citing "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"

50 / 116 papers shown
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Rethinking Class Imbalance in Machine Learning
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Learning in Imperfect Environment: Multi-Label Classification with
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Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial LabelsIEEE International Conference on Computer Vision (ICCV), 2023
Wenqiao Zhang
Changshuo Liu
Lingze Zeng
Beng Chin Ooi
Siliang Tang
Yueting Zhuang
94
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SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes
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SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes AnalysisInternational Conference on Computational Collective Intelligence (ICCCI), 2023
Pham Thai Hoang Tung
Nguyen Tan Viet
Ngo Tien Anh
P. D. Hung
105
5
0
31 Mar 2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study
Knowledge Distillation from Single to Multi Labels: an Empirical Study
Youcai Zhang
Yuzhuo Qin
Heng-Ye Liu
Yanhao Zhang
Yaqian Li
X. Gu
VLM
120
2
0
15 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective
Long-tailed Classification from a Bayesian-decision-theory Perspective
Bolian Li
Ruqi Zhang
160
1
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10 Mar 2023
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From
  Single Positive to Full Labels
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full LabelsScience China Information Sciences (Sci China Inf Sci), 2023
Xiang Li
Xinrui Wang
Songcan Chen
110
0
0
28 Feb 2023
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in
  Federated Learning
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning
Shih-Fang Chang
Benny Wei-Yun Hsu
Tien-Yu Chang
Vincent S. Tseng
106
3
0
27 Feb 2023
Knowledge Restore and Transfer for Multi-label Class-Incremental
  Learning
Knowledge Restore and Transfer for Multi-label Class-Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2023
Songlin Dong
Haoyu Luo
Yuhang He
Xing Wei
Yihong Gong
KELMCLL
203
10
0
26 Feb 2023
Large-scale investigation of weakly-supervised deep learning for the
  fine-grained semantic indexing of biomedical literature
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literatureJournal of Biomedical Informatics (JBI), 2023
A. Nentidis
T. Chatzopoulos
Anastasia Krithara
Grigorios Tsoumakas
George Giannakopoulos
99
3
0
23 Jan 2023
Bridging Images and Videos: A Simple Learning Framework for Large
  Vocabulary Video Object Detection
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object DetectionEuropean Conference on Computer Vision (ECCV), 2022
Sanghyun Woo
Kwanyong Park
Seoung Wug Oh
In So Kweon
Joon-Young Lee
VLMVOS
122
7
0
20 Dec 2022
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level
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EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation
Yunhao Ge
Lyne Tchapmi
Brian Nlong Zhao
Laurent Itti
Vibhav Vineet
DiffM
127
5
0
15 Dec 2022
Learning Imbalanced Data with Vision Transformers
Learning Imbalanced Data with Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2022
Zhengzhuo Xu
R. Liu
Shuo Yang
Runnan Li
Chun Yuan
161
60
0
05 Dec 2022
A Survey of Methods for Addressing Class Imbalance in Deep-Learning
  Based Natural Language Processing
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language ProcessingConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Sophie Henning
William H. Beluch
Kangyang Luo
Annemarie Friedrich
92
31
0
10 Oct 2022
MultiGuard: Provably Robust Multi-label Classification against
  Adversarial Examples
MultiGuard: Provably Robust Multi-label Classification against Adversarial ExamplesNeural Information Processing Systems (NeurIPS), 2022
Jinyuan Jia
Wenjie Qu
Neil Zhenqiang Gong
OOD
111
19
0
03 Oct 2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual
  Learning
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning
Yanyan Liang
Wu-Jun Li
CLL
123
10
0
23 Sep 2022
Class-Level Logit Perturbation
Class-Level Logit PerturbationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Mengyang Li
Fengguang Su
O. Wu
Tianjin University
AAML
211
5
0
13 Sep 2022
Learning to diagnose common thorax diseases on chest radiographs from
  radiology reports in Vietnamese
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in VietnamesePLoS ONE (PLoS ONE), 2022
Thao T. B. Nguyen
T. M. Vo
Thang V. Nguyen
Hieu H. Pham
H. Nguyen
98
6
0
11 Sep 2022
Self-Supervised Pyramid Representation Learning for Multi-Label Visual
  Analysis and Beyond
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and BeyondIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Cheng-Yen Hsieh
Chih-Jung Chang
Fu-En Yang
Yu-Chiang Frank Wang
SSL
143
9
0
30 Aug 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic WorldIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
128
33
0
17 Aug 2022
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD
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HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD CodingMachine Learning in Health Care (MLHC), 2022
Weiming Ren
Ruijing Zeng
Tong Wu
Tianshu Zhu
Rahul G. Krishnan
438
7
0
03 Aug 2022
A Deep Model for Partial Multi-Label Image Classification with
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A Deep Model for Partial Multi-Label Image Classification with Curriculum Based DisambiguationMachine Intelligence Research (MIR), 2022
Feng Sun
Ming-Kun Xie
Sheng-Jun Huang
90
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0
06 Jul 2022
Chairs Can be Stood on: Overcoming Object Bias in Human-Object
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Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction DetectionEuropean Conference on Computer Vision (ECCV), 2022
Guangzhi Wang
Yangyang Guo
Yongkang Wong
Mohan S. Kankanhalli
172
13
0
06 Jul 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
103
12
0
30 Jun 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification
Large Loss Matters in Weakly Supervised Multi-Label ClassificationComputer Vision and Pattern Recognition (CVPR), 2022
Youngwook Kim
Jae Myung Kim
Zeynep Akata
Jungwook Lee
NoLa
124
69
0
08 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
273
5
0
02 Jun 2022
A Survey on Long-Tailed Visual Recognition
A Survey on Long-Tailed Visual RecognitionInternational Journal of Computer Vision (IJCV), 2022
Lu Yang
He Jiang
Q. Song
Jun Guo
168
154
0
27 May 2022
Boosting Multi-Label Image Classification with Complementary Parallel
  Self-Distillation
Boosting Multi-Label Image Classification with Complementary Parallel Self-DistillationInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Jiazhi Xu
Sheng Huang
Fengtao Zhou
Luwen Huangfu
D. Zeng
Bo Liu
91
14
0
23 May 2022
None Class Ranking Loss for Document-Level Relation Extraction
None Class Ranking Loss for Document-Level Relation ExtractionInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Yang Zhou
W. Lee
156
18
0
01 May 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
127
13
0
27 Apr 2022
On Distinctive Image Captioning via Comparing and Reweighting
On Distinctive Image Captioning via Comparing and ReweightingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jiuniu Wang
Wenjia Xu
Qingzhong Wang
Antoni B. Chan
141
23
0
08 Apr 2022
Facial Action Unit Recognition With Multi-models Ensembling
Facial Action Unit Recognition With Multi-models Ensembling
Wenqiang Jiang
Yannan Wu
Fengsheng Qiao
Liyu Meng
Yuanyuan Deng
Chuanhe Liu
CVBM
109
17
0
24 Mar 2022
RankSeg: Adaptive Pixel Classification with Image Category Ranking for
  Segmentation
RankSeg: Adaptive Pixel Classification with Image Category Ranking for SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Hao He
Yuhui Yuan
Xiangyu Yue
Han Hu
VOSVLM
164
15
0
08 Mar 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive
  Feature Generation
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation
Zihan Zhang
Xiang Xiang
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143
2
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Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
Relieving Long-tailed Instance Segmentation via Pairwise Class BalanceComputer Vision and Pattern Recognition (CVPR), 2022
Yin-Yin He
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0
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ML-Decoder: Scalable and Versatile Classification Head
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Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases
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Lie Ju
Zhen Yu
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Xin Zhao
Xin Wang
Paul Bonnington
Z. Ge
111
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GraSSNet: Graph Soft Sensing Neural Networks
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Chao Zhang
Jaswanth K. Yella
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Sthitie Bom
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  Selective Loss
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T. Ridnik
Itamar Friedman
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Nadav Zamir
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Lihi Zelnik-Manor
126
48
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21 Oct 2021
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy
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NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels
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Rajkumar Patra
Harshali Desai
Shruti Vyas
Yogesh S Rawat
R. Shah
VGenNoLa
152
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0
13 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
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215
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MovieCuts: A New Dataset and Benchmark for Cut Type Recognition
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Alejandro Pardo
Fabian Caba Heilbron
Juan Carlos León Alcázar
Ali K. Thabet
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232
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Balancing Methods for Multi-label Text Classification with Long-Tailed
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Balancing Methods for Multi-label Text Classification with Long-Tailed Class DistributionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Yi Huang
Buse Giledereli
Abdullatif Köksal
Arzucan Özgür
Elif Özkirimli
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173
88
0
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Calibrating Class Activation Maps for Long-Tailed Visual Recognition
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Fangqiu Yi
Guosheng Lin
Lvlong Lai
Henghui Ding
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105
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Robust Long-Tailed Learning under Label Noise
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Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest
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