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Multi-label Image Recognition by Recurrently Discovering Attentional
  Regions

Multi-label Image Recognition by Recurrently Discovering Attentional Regions

8 November 2017
Zhouxia Wang
Tianshui Chen
Guanbin Li
Ruijia Xu
Liang Lin
ArXivPDFHTML

Papers citing "Multi-label Image Recognition by Recurrently Discovering Attentional Regions"

50 / 55 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
45
0
0
09 May 2025
Image Classification with Deep Reinforcement Active Learning
Image Classification with Deep Reinforcement Active Learning
Mingyuan Jiu
Xuguang Song
H. Sahbi
Shupan Li
Yan Chen
Wei Guo
Lihua Guo
Mingliang Xu
VLM
29
0
0
31 Dec 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
33
1
0
23 Jul 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du
Yifan Zhou
Fan Lyu
Yuyang Li
Chen Lu
Guangcan Liu
CLL
44
2
0
19 Mar 2024
PVLR: Prompt-driven Visual-Linguistic Representation Learning for
  Multi-Label Image Recognition
PVLR: Prompt-driven Visual-Linguistic Representation Learning for Multi-Label Image Recognition
Hao Tan
Zichang Tan
Jun Li
Jun Wan
Zhen Lei
VLM
38
0
0
31 Jan 2024
Learning to recognize occluded and small objects with partial inputs
Learning to recognize occluded and small objects with partial inputs
H. Zunair
A. Ben Hamza
31
1
0
27 Oct 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
30
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
31
8
0
08 Jul 2023
ShuffleMix: Improving Representations via Channel-Wise Shuffle of
  Interpolated Hidden States
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States
Kang Liu
Ke Chen
Lihua Guo
Yaowei Wang
Kui Jia
40
0
0
30 May 2023
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed
  Multi-Label Visual Recognition
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
Peng Xia
Di Xu
Ming Hu
Lie Ju
Zongyuan Ge
VLM
31
11
0
08 May 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
55
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
36
3
0
02 Dec 2022
Global Meets Local: Effective Multi-Label Image Classification via
  Category-Aware Weak Supervision
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision
Jiawei Zhan
Jing Liu
Wei Tang
Guannan Jiang
Xi-Zhao Wang
...
Tianliang Zhang
Wenlong Wu
Wei Zhang
Chengjie Wang
Yuan Xie
33
6
0
23 Nov 2022
PAANet:Visual Perception based Four-stage Framework for Salient Object
  Detection using High-order Contrast Operator
PAANet:Visual Perception based Four-stage Framework for Salient Object Detection using High-order Contrast Operator
Yanbo Yuan
Hua Zhong
Haixiong Li
Xiao cheng
Linmei Xia
30
0
0
16 Nov 2022
Combining Metric Learning and Attention Heads For Accurate and Efficient
  Multilabel Image Classification
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification
K. Prokofiev
V. Sovrasov
VLM
28
9
0
14 Sep 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
78
49
0
05 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
36
120
0
20 Jun 2022
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label
  Predictions (CHAMP)
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)
A. Vaswani
Gaurav Aggarwal
Praneeth Netrapalli
N. Hegde
31
4
0
17 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
54
17
0
23 May 2022
Diverse Instance Discovery: Vision-Transformer for Instance-Aware
  Multi-Label Image Recognition
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition
Yunqing Hu
Xuan Jin
Yin Zhang
Haiwen Hong
Jingfeng Zhang
Feihu Yan
Yuan He
Hui Xue
ViT
11
1
0
22 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation
Integrative Few-Shot Learning for Classification and Segmentation
Dahyun Kang
Minsu Cho
VLM
37
59
0
29 Mar 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
30
13
0
08 Mar 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
31
30
0
08 Mar 2022
Acoustic Event Detection with Classifier Chains
Acoustic Event Detection with Classifier Chains
Tatsuya Komatsu
Shinji Watanabe
Koichi Miyazaki
Tomoki Hayashi
15
7
0
17 Feb 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
25
57
0
21 Dec 2021
ML-Decoder: Scalable and Versatile Classification Head
ML-Decoder: Scalable and Versatile Classification Head
T. Ridnik
Gilad Sharir
Avi Ben-Cohen
Emanuel Ben-Baruch
Asaf Noy
VLM
32
102
0
25 Nov 2021
Spatial-context-aware deep neural network for multi-class image
  classification
Spatial-context-aware deep neural network for multi-class image classification
Jialu Zhang
Qian Zhang
Jianfeng Ren
Yitian Zhao
Jiang-Dong Liu
SSeg
19
8
0
24 Nov 2021
Meta-Learning for Multi-Label Few-Shot Classification
Meta-Learning for Multi-Label Few-Shot Classification
Christian Simon
Piotr Koniusz
Mehrtash Harandi
18
25
0
26 Oct 2021
Transformer-based Dual Relation Graph for Multi-label Image Recognition
Transformer-based Dual Relation Graph for Multi-label Image Recognition
Jiawei Zhao
Ke Yan
Yifan Zhao
Xiaowei Guo
Feiyue Huang
Jia Li
ViT
26
85
0
10 Oct 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
31
134
0
05 Aug 2021
Query2Label: A Simple Transformer Way to Multi-Label Classification
Query2Label: A Simple Transformer Way to Multi-Label Classification
Shilong Liu
Lei Zhang
Xiao Yang
Hang Su
Jun Zhu
26
187
0
22 Jul 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
18
108
0
17 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
20
60
0
19 Mar 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
414
142
0
13 Jan 2021
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
18
71
0
23 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
40
252
0
23 Nov 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
60
525
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
21
153
0
20 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
32
101
0
08 Sep 2020
Hierarchical Context Embedding for Region-based Object Detection
Hierarchical Context Embedding for Region-based Object Detection
Zhao-Min Chen
Xin Jin
Borui Zhao
Xiaoqin Zhang
Yanwen Guo
ObjD
33
29
0
04 Aug 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
14
98
0
03 Aug 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed
  Datasets
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
Tong Wu
Qingqiu Huang
Ziwei Liu
Yu Wang
Dahua Lin
22
228
0
19 Jul 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 Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
VLM
ObjD
29
60
0
18 May 2020
CNN-based Density Estimation and Crowd Counting: A Survey
CNN-based Density Estimation and Crowd Counting: A Survey
Guangshuai Gao
Junyu Gao
Qingjie Liu
Qi. Wang
Yunhong Wang
22
154
0
28 Mar 2020
Exploring Overall Contextual Information for Image Captioning in
  Human-Like Cognitive Style
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style
Hongwei Ge
Zehang Yan
Kai Zhang
Mingde Zhao
Liang Sun
30
24
0
15 Oct 2019
Learning Category Correlations for Multi-label Image Recognition with
  Graph Networks
Learning Category Correlations for Multi-label Image Recognition with Graph Networks
Qing Li
Xiaojiang Peng
Yu Qiao
Qiang Peng
34
22
0
28 Sep 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
16
991
0
07 Apr 2019
Weakly Supervised Complementary Parts Models for Fine-Grained Image
  Classification from the Bottom Up
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
Weifeng Ge
Xiangru Lin
Yizhou Yu
42
255
0
07 Mar 2019
Pedestrian Attribute Recognition: A Survey
Pedestrian Attribute Recognition: A Survey
Tianlin Li
Shaofei Zheng
Rui Yang
Aihua Zheng
Zhe Chen
Jin Tang
Bin Luo
CVBM
28
127
0
22 Jan 2019
A Baseline for Multi-Label Image Classification Using An Ensemble of
  Deep Convolutional Neural Networks
A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks
Qian Wang
Ning Jia
T. Breckon
UQCV
14
10
0
20 Nov 2018
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