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Deep Convolutional Ranking for Multilabel Image Annotation

Deep Convolutional Ranking for Multilabel Image Annotation

17 December 2013
Yunchao Gong
Yangqing Jia
Thomas Leung
Alexander Toshev
Sergey Ioffe
    VLM
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Papers citing "Deep Convolutional Ranking for Multilabel Image Annotation"

50 / 149 papers shown
Title
Semantic-Space-Intervened Diffusive Alignment for Visual Classification
Semantic-Space-Intervened Diffusive Alignment for Visual Classification
Zixuan Li
Lei Meng
Guoqing Chao
Wei Wu
Xiaoshuo Yan
Yimeng Yang
Zhuang Qi
X. Meng
DiffM
42
0
0
09 May 2025
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
Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport
Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport
Hao Tan
Zichang Tan
Jun Yu Li
A. Liu
Jun Wan
Zhen Lei
VLM
49
0
0
19 Mar 2025
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
Songlin Dong
Yuhang He
Zhengdong Zhou
Haoyu Luo
Xing Wei
Alex C. Kot
Yihong Gong
CLL
41
1
0
01 Mar 2025
Debiasing Vison-Language Models with Text-Only Training
Debiasing Vison-Language Models with Text-Only Training
Yunfan Yang
Chaoquan Jiang
Zhiyu Lin
Jinlin Xiao
Jiaming Zhang
Jitao Sang
VLM
28
1
0
12 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
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint
  Energy
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy
Yihan Mei
Xinyu Wang
De-Fu Zhang
Xiaoling Wang
OODD
33
2
0
08 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
38
6
0
02 Mar 2024
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in
  Multi-Label Image Classification with Partial Labels
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels
Chak Fong Chong
Xinyi Fang
Jielong Guo
Yapeng Wang
Wei Ke
C. Lam
Sio-Kei Im
25
1
0
30 Jan 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
Object Recognition as Next Token Prediction
Object Recognition as Next Token Prediction
Kaiyu Yue
Borchun Chen
Jonas Geiping
Hengduo Li
Tom Goldstein
Ser-Nam Lim
40
9
0
04 Dec 2023
Audio-free Prompt Tuning for Language-Audio Models
Audio-free Prompt Tuning for Language-Audio Models
Yiming Li
Xiangdong Wang
Hong Liu
CLIP
VLM
19
9
0
15 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
DialogVCS: Robust Natural Language Understanding in Dialogue System
  Upgrade
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade
Zefan Cai
Xin Zheng
Tianyu Liu
Xu Wang
H. Meng
Jiaqi Han
Gang Yuan
Binghuai Lin
Baobao Chang
Yunbo Cao
26
4
0
24 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
28
10
0
21 Apr 2023
On the Learnability of Multilabel Ranking
On the Learnability of Multilabel Ranking
Vinod Raman
Unique Subedi
Ambuj Tewari
27
1
0
06 Apr 2023
GaussianMLR: Learning Implicit Class Significance via Calibrated
  Multi-Label Ranking
GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking
V. B. Yesilkaynak
Emine Dari
Alican Mertan
Gözde B. Ünal
19
0
0
07 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
29
7
0
26 Feb 2023
RLSEP: Learning Label Ranks for Multi-label Classification
RLSEP: Learning Label Ranks for Multi-label Classification
Emine Dari
V. B. Yesilkaynak
Alican Mertan
Gözde B. Ünal
11
0
0
08 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
36
3
0
02 Dec 2022
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Zixian Guo
Bowen Dong
Zhilong Ji
Jinfeng Bai
Yiwen Guo
W. Zuo
VLM
VPVLM
28
57
0
23 Nov 2022
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph
  Completion
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion
Mojtaba Moattari
S. Vahdati
F. Zulkernine
11
0
0
15 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
75
49
0
05 Jul 2022
Universal Domain Adaptive Object Detector
Universal Domain Adaptive Object Detector
Wen-jiao Shi
Lei Zhang
Weijie Chen
Shiliang Pu
ObjD
25
19
0
05 Jul 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
Can multi-label classification networks know what they don't know?
Can multi-label classification networks know what they don't know?
Haoran Wang
Weitang Liu
Alex E. Bocchieri
Yixuan Li
OODD
48
124
0
29 Sep 2021
Tensor Normalization and Full Distribution Training
Tensor Normalization and Full Distribution Training
Wolfgang Fuhl
OOD
23
4
0
06 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
22
43
0
20 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
13
23
0
23 Jul 2021
Multi-Label Learning from Single Positive Labels
Multi-Label Learning from Single Positive Labels
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
23
108
0
17 Jun 2021
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe-nan Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
16
107
0
17 Jun 2021
GM-MLIC: Graph Matching based Multi-Label Image Classification
GM-MLIC: Graph Matching based Multi-Label Image Classification
Yanan Wu
He Liu
Songhe Feng
Yi Jin
Gengyu Lyu
Zizhang Wu
13
25
0
30 Apr 2021
Multi-target prediction for dummies using two-branch neural networks
Multi-target prediction for dummies using two-branch neural networks
Dimitrios Iliadis
B. De Baets
Willem Waegeman
17
9
0
19 Apr 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
18
60
0
19 Mar 2021
Evaluating Multi-label Classifiers with Noisy Labels
Evaluating Multi-label Classifiers with Noisy Labels
Wenting Zhao
Carla P. Gomes
NoLa
74
14
0
16 Feb 2021
Generative Multi-Label Zero-Shot Learning
Generative Multi-Label Zero-Shot Learning
Akshita Gupta
Sanath Narayan
Salman Khan
F. Khan
Ling Shao
J. Weijer
VLM
21
32
0
27 Jan 2021
Unifying Relational Sentence Generation and Retrieval for Medical Image
  Report Composition
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition
Fuyu Wang
Xiaodan Liang
Lin Xu
Liang Lin
MedIm
29
25
0
09 Jan 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data
Multi-label Ranking: Mining Multi-label and Label Ranking Data
L. Dery
24
7
0
03 Jan 2021
Coarse to Fine: Multi-label Image Classification with Global/Local
  Attention
Coarse to Fine: Multi-label Image Classification with Global/Local Attention
Fan Lyu
Fuyuan Hu
Victor S. Sheng
Zhengtian Wu
Qiming Fu
Baochuan Fu
6
6
0
26 Dec 2020
Deep Semantic Dictionary Learning for Multi-label Image Classification
Deep Semantic Dictionary Learning for Multi-label Image Classification
Feng Zhou
Sheng Huang
Yun Xing
VLM
15
71
0
23 Dec 2020
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
ViT
CoGe
16
2
0
10 Dec 2020
Attention-Aware Noisy Label Learning for Image Classification
Attention-Aware Noisy Label Learning for Image Classification
Zhenzhen Wang
Chunyan Xu
Yap-Peng Tan
Junsong Yuan
NoLa
14
2
0
30 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
10
153
0
20 Sep 2020
Instance-Aware Graph Convolutional Network for Multi-Label
  Classification
Instance-Aware Graph Convolutional Network for Multi-Label Classification
Yun Wang
Tong Zhang
Zhen Cui
Chunyan Xu
Jian Yang
GNN
11
4
0
19 Aug 2020
Reconstruction Regularized Deep Metric Learning for Multi-label Image
  Classification
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification
Changsheng Li
Chongjin Liu
Lixin Duan
Peng Gao
Kai Zheng
6
37
0
27 Jul 2020
MMFashion: An Open-Source Toolbox for Visual Fashion Analysis
MMFashion: An Open-Source Toolbox for Visual Fashion Analysis
Xin Liu
Jiancheng Li
Jiaqi Wang
Ziwei Liu
6
31
0
18 May 2020
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Junran Peng
Xingyuan Bu
Ming-hui Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
VLM
ObjD
19
60
0
18 May 2020
GraftNet: An Engineering Implementation of CNN for Fine-grained
  Multi-label Task
GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task
Chunhua Jia
Lei Zhang
Hui Huang
Weiwei Cai
Hao Hu
Rohan Adivarekar
8
0
0
27 Apr 2020
Adversarial Learning for Personalized Tag Recommendation
Adversarial Learning for Personalized Tag Recommendation
Erik Quintanilla
Y. S. Rawat
Andrey Sakryukin
M. Shah
Mohan S. Kankanhalli
VLM
6
21
0
01 Apr 2020
Adaptive Object Detection with Dual Multi-Label Prediction
Adaptive Object Detection with Dual Multi-Label Prediction
Z. Zhao
Yuhong Guo
Haifeng Shen
Jieping Ye
14
54
0
29 Mar 2020
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