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Improving Multi-label Learning with Missing Labels by Structured
  Semantic Correlations

Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations

4 August 2016
Hao Yang
Qiufeng Wang
Jianfei Cai
ArXiv (abs)PDFHTML

Papers citing "Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations"

19 / 19 papers shown
Title
Balancing Efficiency vs. Effectiveness and Providing Missing Label
  Robustness in Multi-Label Stream Classification
Balancing Efficiency vs. Effectiveness and Providing Missing Label Robustness in Multi-Label Stream Classification
Sepehr Bakhshi
Fazli Can
34
7
0
01 Oct 2023
Category-Adaptive Label Discovery and Noise Rejection for Multi-label
  Image Recognition with Partial Positive Labels
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels
Tao Pu
Q. Lao
Hefeng Wu
Tianshui Chen
Liang Lin
75
2
0
15 Nov 2022
An Effective Approach for Multi-label Classification with Missing Labels
An Effective Approach for Multi-label Classification with Missing Labels
Xin Zhang
R. Abdelfattah
Yuqi Song
Xiang Wang
45
4
0
24 Oct 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image
  Classification
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
R. Abdelfattah
Xin Zhang
Zhenyao Wu
Xinyi Wu
Xiang Wang
Song Wang
VLM
61
6
0
22 Aug 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification
Large Loss Matters in Weakly Supervised Multi-Label Classification
Youngwook Kim
Jae Myung Kim
Zeynep Akata
Jungwook Lee
NoLa
79
47
0
08 Jun 2022
Not All Relations are Equal: Mining Informative Labels for Scene Graph
  Generation
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
A. Goel
Basura Fernando
Frank Keller
Hakan Bilen
108
33
0
26 Nov 2021
Multi-label Classification with Partial Annotations using Class-aware
  Selective Loss
Multi-label Classification with Partial Annotations using Class-aware Selective Loss
Emanuel Ben-Baruch
T. Ridnik
Itamar Friedman
Avi Ben-Cohen
Nadav Zamir
Asaf Noy
Lihi Zelnik-Manor
73
39
0
21 Oct 2021
Multi-Label Image Classification with Contrastive Learning
Multi-Label Image Classification with Contrastive Learning
Son D.Dao
Ethan Zhao
D.Q. Phung
Jianfei Cai
SSL
61
26
0
24 Jul 2021
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
50
113
0
17 Jun 2021
Tensor Composition Net for Visual Relationship Prediction
Tensor Composition Net for Visual Relationship Prediction
Yuting Qiang
Yongxin Yang
Xueting Zhang
Yanwen Guo
Timothy M. Hospedales
ViTCoGe
54
2
0
10 Dec 2020
The Emerging Trends of Multi-Label Learning
The Emerging Trends of Multi-Label Learning
Weiwei Liu
Haobo Wang
Xiaobo Shen
Ivor W. Tsang
102
270
0
23 Nov 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Luyang Luo
Lequan Yu
Hao Chen
Quande Liu
Xi Wang
Jiaqi Xu
Pheng-Ann Heng
OOD
89
79
0
06 Jun 2020
Expand Globally, Shrink Locally: Discriminant Multi-label Learning with
  Missing Labels
Expand Globally, Shrink Locally: Discriminant Multi-label Learning with Missing Labels
Zhongchen Ma
Songcan Chen
30
58
0
08 Apr 2020
Learning a Deep ConvNet for Multi-label Classification with Partial
  Labels
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand
Nazanin Mehrasa
Greg Mori
SSL
101
233
0
26 Feb 2019
Multi-Label Image Classification via Knowledge Distillation from
  Weakly-Supervised Detection
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
Yongcheng Liu
Lu Sheng
Jing Shao
Junjie Yan
Shiming Xiang
Chunhong Pan
WSODVLM
108
116
0
16 Sep 2018
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding
  Projection
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection
Meng Ye
Yuhong Guo
134
8
0
07 Aug 2018
MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional
  Networks with Privileged Information
MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information
Hao Yang
Qiufeng Wang
Jianfei Cai
Yew-Soon Ong
90
61
0
28 Feb 2017
Knowledge Guided Disambiguation for Large-Scale Scene Classification
  with Multi-Resolution CNNs
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Limin Wang
Sheng Guo
Weilin Huang
Yuanjun Xiong
Yu Qiao
111
144
0
04 Oct 2016
From Facial Expression Recognition to Interpersonal Relation Prediction
From Facial Expression Recognition to Interpersonal Relation Prediction
Zhanpeng Zhang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
66
272
0
21 Sep 2016
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