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. 2205.11131
  4. Cited By
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial
  Labels
v1v2v3v4 (latest)

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels

23 May 2022
Tianshui Chen
Tao Pu
Lingbo Liu
Yukai Shi
Zhijing Yang
Liang Lin
ArXiv (abs)PDFHTML

Papers citing "Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels"

31 / 31 papers shown
Title
Contrastive Decoupled Representation Learning and Regularization for Speech-Preserving Facial Expression Manipulation
Contrastive Decoupled Representation Learning and Regularization for Speech-Preserving Facial Expression Manipulation
Tianshui Chen
Jianman Lin
Zhijing Yang
Chumei Qing
Yukai Shi
Liang Lin
101
3
0
08 Apr 2025
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph
  Generation
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation
Tao Pu
Tianshui Chen
Hefeng Wu
Yongyi Lu
Liangjie Lin
ViT
96
13
0
23 Sep 2023
Semantic-Aware Representation Blending for Multi-Label Image Recognition
  with Partial Labels
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
Tao Pu
Tianshui Chen
Hefeng Wu
Liang Lin
103
41
0
04 Mar 2022
Structured Semantic Transfer for Multi-Label Recognition with Partial
  Labels
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels
Tianshui Chen
Tao Pu
Hefeng Wu
Yuan Xie
Liang Lin
77
59
0
21 Dec 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLMCLIPVLM
515
2,422
0
02 Sep 2021
Instance-weighted Central Similarity for Multi-label Image Retrieval
Instance-weighted Central Similarity for Multi-label Image Retrieval
Zhiwei Zhang
Hanyu Peng
110
7
0
11 Aug 2021
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label
  Image Recognition
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
Jin Ye
Junjun He
Xiaojiang Peng
Wenhao Wu
Yu Qiao
59
190
0
05 Dec 2020
Asymmetric Loss For Multi-Label Classification
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
105
542
0
29 Sep 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image
  Recognition
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition
Tianshui Chen
Liang Lin
Riquan Chen
X. Hui
Hefeng Wu
94
156
0
20 Sep 2020
Cross-Domain Facial Expression Recognition: A Unified Evaluation
  Benchmark and Adversarial Graph Learning
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning
Tianshui Chen
Tao Pu
Hefeng Wu
Yuan Xie
Lingbo Liu
Liang Lin
95
102
0
03 Aug 2020
Unsupervised Person Re-identification via Multi-label Classification
Unsupervised Person Re-identification via Multi-label Classification
Dongkai Wang
Shiliang Zhang
81
364
0
20 Apr 2020
Intra-Camera Supervised Person Re-Identification
Intra-Camera Supervised Person Re-Identification
Xiangping Zhu
Xiatian Zhu
Minxian Li
Pietro Morerio
Vittorio Murino
S. Gong
77
39
0
12 Feb 2020
Learning Semantic-Specific Graph Representation for Multi-Label Image
  Recognition
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Tianshui Chen
Muxi Xu
X. Hui
Hefeng Wu
Liang Lin
94
289
0
20 Aug 2019
Contextualized Spatial-Temporal Network for Taxi Origin-Destination
  Demand Prediction
Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction
Lingbo Liu
Zhilin Qiu
Guanbin Li
Qing Wang
Wanli Ouyang
Liang Lin
AI4TS
62
208
0
15 May 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
121
1,001
0
07 Apr 2019
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
98
233
0
26 Feb 2019
Recurrent Attentional Reinforcement Learning for Multi-label Image
  Recognition
Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition
Tianshui Chen
Zhouxia Wang
Guanbin Li
Liang Lin
75
152
0
20 Dec 2017
Multi-label Image Recognition by Recurrently Discovering Attentional
  Regions
Multi-label Image Recognition by Recurrently Discovering Attentional Regions
Zhouxia Wang
Tianshui Chen
Guanbin Li
Ruijia Xu
Liang Lin
123
291
0
08 Nov 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
214
2,411
0
10 Jul 2017
CNN-RNN: A Unified Framework for Multi-label Image Classification
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang
Yi Yang
Junhua Mao
Zhiheng Huang
Chang Huang
Wenyuan Xu
SSL
98
1,163
0
15 Apr 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense
  Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
237
5,766
0
23 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
256
9,342
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
351
3,291
0
17 Nov 2015
Learning Visual Features from Large Weakly Supervised Data
Learning Visual Features from Large Weakly Supervised Data
Armand Joulin
Laurens van der Maaten
Allan Jabri
Nicolas Vasilache
SSL
109
409
0
06 Nov 2015
Exploit Bounding Box Annotations for Multi-label Object Recognition
Exploit Bounding Box Annotations for Multi-label Object Recognition
Hao Yang
Qiufeng Wang
Yu Zhang
Bin-Bin Gao
Jianxin Wu
Jianfei Cai
95
164
0
22 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.2K
150,433
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,575
0
04 Sep 2014
CNN: Single-label to Multi-label
CNN: Single-label to Multi-label
Yunchao Wei
Wei Xia
Junshi Huang
Bingbing Ni
Jian Dong
Yao-Min Zhao
Shuicheng Yan
121
677
0
22 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
444
43,875
0
01 May 2014
Large-scale Multi-label Learning with Missing Labels
Large-scale Multi-label Learning with Missing Labels
Hsiang-Fu Yu
Prateek Jain
Purushottam Kar
Inderjit S. Dhillon
MQ
97
492
0
18 Jul 2013
1