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. 1711.06526
  4. Cited By
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs

Multi-Label Zero-Shot Learning with Structured Knowledge Graphs

17 November 2017
Chung-Wei Lee
Wei Fang
Chih-Kuan Yeh
Y. Wang
    VLM
ArXivPDFHTML

Papers citing "Multi-Label Zero-Shot Learning with Structured Knowledge Graphs"

50 / 123 papers shown
Title
Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition
Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition
Yin Tang
Jiankai Li
Hongyu Yang
Xuan Dong
Lifeng Fan
Weixin Li
34
0
0
25 Apr 2025
Organizing Unstructured Image Collections using Natural Language
Organizing Unstructured Image Collections using Natural Language
Mingxuan Liu
Zhun Zhong
Jun Li
Gianni Franchi
Subhankar Roy
Elisa Ricci
VLM
39
3
0
07 Oct 2024
Epsilon: Exploring Comprehensive Visual-Semantic Projection for
  Multi-Label Zero-Shot Learning
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
Ziming Liu
Jingcai Guo
Song Guo
Xiaocheng Lu
VLM
29
2
0
22 Aug 2024
GMC: A General Framework of Multi-stage Context Learning and Utilization
  for Visual Detection Tasks
GMC: A General Framework of Multi-stage Context Learning and Utilization for Visual Detection Tasks
Xuan Wang
Hao Tang
Zhigang Zhu
ObjD
24
1
0
08 Jul 2024
ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in
  Remote Sensing Imagery
ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery
Xian Sun
Qiwei Yan
Chubo Deng
Chenglong Liu
Yi Jiang
...
Wanxuan Lu
Fanglong Yao
Xiaoyu Liu
Lingxiang Hao
Hongfeng Yu
26
0
0
10 Jun 2024
The impact of Compositionality in Zero-shot Multi-label action
  recognition for Object-based tasks
The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks
Carmela Calabrese
Stefano Berti
Giulia Pasquale
Lorenzo Natale
VLM
37
0
0
14 May 2024
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning
  Transferable Prompt
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt
Xiangyu Wu
Qingjun Jiang
Yang Yang
Yifeng Wu
Qingguo Chen
Jianfeng Lu
VLM
VPVLM
28
6
0
11 May 2024
Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning
Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning
Shuo Yang
Zirui Shang
Yongqi Wang
Derong Deng
Hongwei Chen
Qiyuan Cheng
Xinxiao Wu
VLM
33
6
0
02 Mar 2024
Deep Learning for Multi-Label Learning: A Comprehensive Survey
Deep Learning for Multi-Label Learning: A Comprehensive Survey
A. Tarekegn
M. Ullah
F. A. Cheikh
AI4TS
40
8
0
29 Jan 2024
Query-Based Knowledge Sharing for Open-Vocabulary Multi-Label
  Classification
Query-Based Knowledge Sharing for Open-Vocabulary Multi-Label Classification
Xueling Zhu
Jian Liu
Dongqi Tang
Jiawei Ge
Weijia Liu
Bo Liu
Jiuxin Cao
VLM
27
1
0
02 Jan 2024
ProS: Prompting-to-simulate Generalized knowledge for Universal
  Cross-Domain Retrieval
ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval
Kaipeng Fang
Jingkuan Song
Lianli Gao
Pengpeng Zeng
Zhi-Qi Cheng
Xiyao Li
Hengtao Shen
VLM
25
10
0
19 Dec 2023
What can knowledge graph alignment gain with Neuro-Symbolic learning
  approaches?
What can knowledge graph alignment gain with Neuro-Symbolic learning approaches?
P. Cotovio
Ernesto Jiménez-Ruiz
Catia Pesquita
22
1
0
11 Oct 2023
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
37
13
0
23 Sep 2023
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot
  Learning
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning
Ziming Liu
Jingcai Guo
Xiaocheng Lu
Song Guo
Peiran Dong
Jiewei Zhang
VLM
19
8
0
02 Sep 2023
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition
  with Limited Annotations
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations
Ping Hu
Ximeng Sun
Stan Sclaroff
Kate Saenko
VLM
34
21
0
03 Aug 2023
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition
Chao Liang
Zongxin Yang
Linchao Zhu
Yezhou Yang
NoLa
19
8
0
03 Jul 2023
Sample-Efficient Learning of Novel Visual Concepts
Sample-Efficient Learning of Novel Visual Concepts
Sarthak Bhagat
Simon Stepputtis
Joseph Campbell
Katia P. Sycara
49
8
0
15 Jun 2023
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation
  Learning
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning
Jin Yuan
Yang Zhang
Yangzhou Du
Zhongchao Shi
Xin Geng
Jianping Fan
Yong Rui
26
0
0
30 May 2023
Deep Partial Multi-Label Learning with Graph Disambiguation
Deep Partial Multi-Label Learning with Graph Disambiguation
Haobo Wang
Shisong Yang
Gengyu Lyu
Weiwei Liu
Tianlei Hu
Ke Chen
Songhe Feng
Gang Chen
30
8
0
10 May 2023
Semantic-Aware Graph Matching Mechanism for Multi-Label Image
  Recognition
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition
Yanan Wu
Songhe Feng
Yang Wang
23
10
0
21 Apr 2023
Spatio-Temporal driven Attention Graph Neural Network with Block
  Adjacency matrix (STAG-NN-BA)
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA)
U. Nazir
W. Islam
M. Taj
18
3
0
25 Mar 2023
Bi-directional Distribution Alignment for Transductive Zero-Shot
  Learning
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning
Zhicai Wang
Y. Hao
Tingting Mu
Ouxiang Li
Shuo Wang
Xiangnan He
VLM
28
10
0
15 Mar 2023
Relational Multi-Task Learning: Modeling Relations between Data and
  Tasks
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
Kaidi Cao
Jiaxuan You
J. Leskovec
22
17
0
14 Mar 2023
Knowledge Restore and Transfer for Multi-label Class-Incremental
  Learning
Knowledge Restore and Transfer for Multi-label Class-Incremental Learning
Songlin Dong
Haoyu Luo
Yuhang He
Xing Wei
Yihong Gong
KELM
CLL
21
7
0
26 Feb 2023
BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label
  Chest X-Ray Recognition
BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label Chest X-Ray Recognition
Guoli Wang
Pingping Wang
Jinyu Cong
Kun-Meng Liu
Benzheng Wei
16
3
0
22 Feb 2023
Navigating Alignment for Non-identical Client Class Sets: A Label
  Name-Anchored Federated Learning Framework
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework
Jiayun Zhang
Xiyuan Zhang
Xinyang Zhang
Dezhi Hong
Rajesh K. Gupta
Jingbo Shang
FedML
59
7
0
01 Jan 2023
Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning
Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning
Jiwei Wei
Yang Yang
Zeyu Ma
Jingjing Li
Xing Xu
H. Shen
27
2
0
26 Dec 2022
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
31
3
0
02 Dec 2022
Association Graph Learning for Multi-Task Classification with Category
  Shifts
Association Graph Learning for Multi-Task Classification with Category Shifts
Jiayi Shen
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
M. Worring
OOD
33
4
0
10 Oct 2022
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on
  Aligned Visual-Textual Features
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features
Shichao Xu
Yikang Li
Jenhao Hsiao
C. Ho
Zhuang Qi
14
7
0
19 Aug 2022
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge
  Transfer
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
Su He
Taian Guo
Tao Dai
Ruizhi Qiao
Bo Ren
Shutao Xia
VLM
72
49
0
05 Jul 2022
Disentangled Action Recognition with Knowledge Bases
Disentangled Action Recognition with Knowledge Bases
Zhekun Luo
Shalini Ghosh
Devin Guillory
Keizo Kato
Trevor Darrell
Huijuan Xu
21
7
0
04 Jul 2022
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited
  Annotations
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
Ximeng Sun
Ping Hu
Kate Saenko
VLM
28
119
0
20 Jun 2022
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes
Yumeng Li
Ni Gao
Hanna Ziesche
Gerhard Neumann
29
5
0
14 Jun 2022
Learning Compositional Representations for Effective Low-Shot
  Generalization
Learning Compositional Representations for Effective Low-Shot Generalization
Samarth Mishra
Pengkai Zhu
Venkatesh Saligrama
OCL
27
3
0
17 Apr 2022
Semantic Representation and Dependency Learning for Multi-Label Image
  Recognition
Semantic Representation and Dependency Learning for Multi-Label Image Recognition
Tao Pu
Lixian Yuan
Hefeng Wu
Tianshui Chen
Ling Tian
Liang Lin
VLM
23
15
0
08 Apr 2022
Graph Attention Transformer Network for Multi-Label Image Classification
Graph Attention Transformer Network for Multi-Label Image Classification
Jin Yuan
Shikai Chen
Yao Zhang
Zhongchao Shi
Xin Geng
Jianping Fan
Yong Rui
ViT
23
30
0
08 Mar 2022
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and
  Semantic Attention
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention
Ziming Liu
Song Guo
Jingcai Guo
Yuanyuan Xu
Fushuo Huo
11
23
0
07 Mar 2022
A Survey on Visual Transfer Learning using Knowledge Graphs
A Survey on Visual Transfer Learning using Knowledge Graphs
Sebastian Monka
Lavdim Halilaj
Achim Rettinger
19
23
0
27 Jan 2022
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive
  Survey
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey
Jiaoyan Chen
Yuxia Geng
Zhuo Chen
Jeff Z. Pan
Yuan He
Wen Zhang
Ian Horrocks
Hua-zeng Chen
30
43
0
18 Dec 2021
Compositional Clustering: Applications to Multi-Label Object Recognition
  and Speaker Identification
Compositional Clustering: Applications to Multi-Label Object Recognition and Speaker Identification
Zeqian Li
Xinlu He
Jacob Whitehill
19
6
0
09 Sep 2021
Discriminative Region-based Multi-Label Zero-Shot Learning
Discriminative Region-based Multi-Label Zero-Shot Learning
Sanath Narayan
Akshita Gupta
Salman Khan
F. Khan
Ling Shao
M. Shah
VLM
19
43
0
20 Aug 2021
Distilling Holistic Knowledge with Graph Neural Networks
Distilling Holistic Knowledge with Graph Neural Networks
Sheng Zhou
Yucheng Wang
Defang Chen
Jiawei Chen
Xin Eric Wang
Can Wang
Jiajun Bu
15
54
0
12 Aug 2021
Dynamic Relevance Learning for Few-Shot Object Detection
Dynamic Relevance Learning for Few-Shot Object Detection
Weijie Liu
Chong Wang
Haohe Li
Shenghao Yu
Jiafei Wu
ObjD
20
10
0
04 Aug 2021
Learning Discriminative Representations for Multi-Label Image
  Recognition
Learning Discriminative Representations for Multi-Label Image Recognition
Mohammed Hassanin
Ibrahim Radwan
Salman Khan
M. Tahtali
SSL
11
23
0
23 Jul 2021
Multi-Label Generalized Zero Shot Learning for the Classification of
  Disease in Chest Radiographs
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
Nasir Hayat
Hazem Lashen
Farah E. Shamout
54
21
0
14 Jul 2021
Benchmarking Knowledge-driven Zero-shot Learning
Benchmarking Knowledge-driven Zero-shot Learning
Yuxia Geng
Jiaoyan Chen
Zhuang Xiang
Zhuo Chen
Jeff Z. Pan
Juan Li
Zonggang Yuan
Huajun Chen
VLM
25
19
0
29 Jun 2021
Multi-layered Semantic Representation Network for Multi-label Image
  Classification
Multi-layered Semantic Representation Network for Multi-label Image Classification
Xiwen Qu
Haoyang Che
Jun Huang
Linchuan Xu
Xiao Zheng
24
24
0
22 Jun 2021
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot
  Video Classification
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification
Andrés Villa
Juan-Manuel Perez-Rua
Victor Escorcia
Vladimir Araujo
Juan Carlos Niebles
Alvaro Soto
27
0
0
21 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot
  Learning for Structured Data
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
42
24
0
11 Jun 2021
123
Next