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Learning Semantic-Specific Graph Representation for Multi-Label Image
  Recognition

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition

20 August 2019
Tianshui Chen
Muxi Xu
X. Hui
Hefeng Wu
Liang Lin
ArXivPDFHTML

Papers citing "Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition"

21 / 21 papers shown
Title
Rethinking Prompting Strategies for Multi-Label Recognition with Partial
  Annotations
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations
Samyak Rawlekar
Shubhang Bhatnagar
Narendra Ahuja
VLM
18
1
0
12 Sep 2024
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for
  Multi-Label Image Classification
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification
Shuyi Ouyang
Hongyi Wang
Ziwei Niu
Zhenjia Bai
Shiao Xie
Yingying Xu
Ruofeng Tong
Yen-Wei Chen
Lanfen Lin
VLM
25
1
0
23 Jul 2024
Scene Graph Generation Strategy with Co-occurrence Knowledge and
  Learnable Term Frequency
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency
H. Kim
Sangwon Kim
Dasom Ahn
Jong Taek Lee
ByoungChul Ko
30
2
0
21 May 2024
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for
  Multi-Label Image Recognition
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Ruijie Yao
Sheng Jin
Lumin Xu
Wang Zeng
Wentao Liu
Chao Qian
Ping Luo
Ji Wu
21
2
0
28 Aug 2023
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for
  Multi-Label Image Classification
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
Miaoge Li
Dongsheng Wang
Xinyang Liu
Zequn Zeng
Ruiying Lu
Bo Chen
Mingyuan Zhou
VLM
OT
11
15
0
18 Jul 2023
End-to-End Supervised Multilabel Contrastive Learning
End-to-End Supervised Multilabel Contrastive Learning
A. Sajedi
Samir Khaki
Konstantinos N. Plataniotis
Mahdi S. Hosseini
SSL
21
8
0
08 Jul 2023
Exploring Structured Semantic Prior for Multi Label Recognition with
  Incomplete Labels
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Zixuan Ding
Ao Wang
Hui Chen
Q. Zhang
Pengzhang Liu
Yongjun Bao
Weipeng P. Yan
Jungong Han
13
27
0
23 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
51
2
0
15 Mar 2023
Learning Disentangled Label Representations for Multi-label
  Classification
Learning Disentangled Label Representations for Multi-label Classification
Jian Jia
Fei He
Naiyu Gao
Xiaotang Chen
Kaiqi Huang
21
2
0
02 Dec 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
13
46
0
08 Jun 2022
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial
  Labels
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Tianshui Chen
Tao Pu
Lingbo Liu
Yukai Shi
Zhijing Yang
Liang Lin
45
15
0
23 May 2022
Boosting Multi-Label Image Classification with Complementary Parallel
  Self-Distillation
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation
Jiazhi Xu
Sheng Huang
Fengtao Zhou
Luwen Huangfu
D. Zeng
Bo Liu
9
13
0
23 May 2022
RankSeg: Adaptive Pixel Classification with Image Category Ranking for
  Segmentation
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation
Hao He
Yuhui Yuan
Xiangyu Yue
Han Hu
VOS
VLM
8
13
0
08 Mar 2022
Tailor Versatile Multi-modal Learning for Multi-label Emotion
  Recognition
Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition
Yi Zhang
Mingyuan Chen
Jundong Shen
Chongjun Wang
18
58
0
15 Jan 2022
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
15
17
0
30 Nov 2021
CaT: Weakly Supervised Object Detection with Category Transfer
CaT: Weakly Supervised Object Detection with Category Transfer
Tianyue Cao
Lianyu Du
Xiaoyun Zhang
Siheng Chen
Ya-Qin Zhang
Yanfeng Wang
17
19
0
17 Aug 2021
Residual Attention: A Simple but Effective Method for Multi-Label
  Recognition
Residual Attention: A Simple but Effective Method for Multi-Label Recognition
Ke Zhu
Jianxin Wu
11
135
0
05 Aug 2021
Imperceptible Adversarial Examples for Fake Image Detection
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao
Yuezun Li
Xiaoqiang Guo
Bin Kong
Yingxin Zhu
Jianlei Liu
Zhuqing Jiang
Qi Song
Xi Wu
AAML
85
33
0
03 Jun 2021
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and
  Benchmark
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
Joakim Bruslund Haurum
T. Moeslund
12
59
0
19 Mar 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
23
113
0
16 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
28
244
0
23 Nov 2020
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