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Exploit Bounding Box Annotations for Multi-label Object Recognition
v1v2 (latest)

Exploit Bounding Box Annotations for Multi-label Object Recognition

22 April 2015
Hao Yang
Qiufeng Wang
Yu Zhang
Bin-Bin Gao
Jianxin Wu
Jianfei Cai
ArXiv (abs)PDFHTML

Papers citing "Exploit Bounding Box Annotations for Multi-label Object Recognition"

46 / 46 papers shown
Title
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP
  Aligned Representation
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representation
Muhammad Ali
Salman Khan
VLM
123
15
0
21 Jun 2024
On the Learnability of Multilabel Ranking
On the Learnability of Multilabel Ranking
Vinod Raman
Unique Subedi
Ambuj Tewari
61
1
0
06 Apr 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
86
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
VLMVPVLM
119
60
0
23 Nov 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
90
6
0
23 Nov 2022
Category-Adaptive Label Discovery and Noise Rejection for Multi-label
  Image Recognition with Partial Positive Labels
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels
Tao Pu
Q. Lao
Hefeng Wu
Tianshui Chen
Liang Lin
75
2
0
15 Nov 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
64
8
0
19 Aug 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
113
19
0
23 May 2022
Acknowledging the Unknown for Multi-label Learning with Single Positive
  Labels
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels
Donghao Zhou
Pengfei Chen
Qiong Wang
Guangyong Chen
Pheng-Ann Heng
55
31
0
30 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
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
80
108
0
25 Nov 2021
Meta-Learning for Multi-Label Few-Shot Classification
Meta-Learning for Multi-Label Few-Shot Classification
Christian Simon
Piotr Koniusz
Mehrtash Harandi
120
27
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
84
87
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
99
138
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
68
193
0
22 Jul 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
70
65
0
19 Mar 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data
Multi-label Ranking: Mining Multi-label and Label Ranking Data
L. Dery
48
7
0
03 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
72
73
0
23 Dec 2020
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
62
190
0
05 Dec 2020
General Multi-label Image Classification with Transformers
General Multi-label Image Classification with Transformers
Jack Lanchantin
Tianlu Wang
Vicente Ordonez
Yanjun Qi
ViT
66
268
0
27 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
110
547
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
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
23
4
0
19 Aug 2020
Do Not Disturb Me: Person Re-identification Under the Interference of
  Other Pedestrians
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
Shizhen Zhao
Changxin Gao
Jun Zhang
Hao Cheng
Chuchu Han
Xinyang Jiang
Xiao-Wei Guo
Weishi Zheng
Nong Sang
Xing Sun
82
50
0
16 Aug 2020
Learning to Discover Multi-Class Attentional Regions for Multi-Label
  Image Recognition
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
Bin-Bin Gao
Hong-Yu Zhou
71
115
0
03 Jul 2020
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label
  Classification
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
Renchun You
Zhiyao Guo
Lei Cui
Xiang Long
Sid Ying-Ze Bao
Shilei Wen
81
185
0
17 Dec 2019
Prototypical Networks for Multi-Label Learning
Prototypical Networks for Multi-Label Learning
Zhuo Yang
Yufei Han
Guoxian Yu
Qiang Yang
Xiangliang Zhang
63
8
0
17 Nov 2019
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action
  Video Understanding
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
Mathew Monfort
Bowen Pan
K. Ramakrishnan
A. Andonian
Barry A. McNamara
A. Lascelles
Quanfu Fan
Dan Gutfreund
Rogerio Feris
A. Oliva
VLM
102
68
0
01 Nov 2019
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
Elucidating image-to-set prediction: An analysis of models, losses and
  datasets
Elucidating image-to-set prediction: An analysis of models, losses and datasets
Luis Villaseñor-Pineda
Amaia Salvador
M. Drozdzal
Adriana Romero
108
12
0
11 Apr 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
Loss Guided Activation for Action Recognition in Still Images
Loss Guided Activation for Action Recognition in Still Images
Lu Liu
R. Tan
Shaodi You
48
29
0
11 Dec 2018
Adversarial Learning of Label Dependency: A Novel Framework for
  Multi-class Classification
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification
Che-Ping Tsai
Hung-yi Lee
GAN
29
6
0
12 Nov 2018
Multi-Label Image Classification via Knowledge Distillation from
  Weakly-Supervised Detection
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
Yongcheng Liu
Lu Sheng
Jing Shao
Junjie Yan
Shiming Xiang
Chunhong Pan
WSODVLM
108
116
0
16 Sep 2018
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
Order-Free RNN with Visual Attention for Multi-Label Classification
Order-Free RNN with Visual Attention for Multi-Label Classification
Shang-Fu Chen
Yi-Chen Chen
Chih-Kuan Yeh
Y. Wang
112
144
0
18 Jul 2017
Deep Patch Learning for Weakly Supervised Object Classification and
  Discovery
Deep Patch Learning for Weakly Supervised Object Classification and Discovery
Peng Tang
Xinggang Wang
Zilong Huang
X. Bai
Wenyu Liu
WSODOCL
71
73
0
06 May 2017
Improving Classification by Improving Labelling: Introducing
  Probabilistic Multi-Label Object Interaction Recognition
Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition
Michael Wray
Davide Moltisanti
W. Mayol-Cuevas
Dima Damen
67
2
0
24 Mar 2017
MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional
  Networks with Privileged Information
MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information
Hao Yang
Qiufeng Wang
Jianfei Cai
Yew-Soon Ong
90
61
0
28 Feb 2017
Learning Spatial Regularization with Image-level Supervisions for
  Multi-label Image Classification
Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification
Feng Zhu
Hongsheng Li
Wanli Ouyang
Nenghai Yu
Xiaogang Wang
65
338
0
20 Feb 2017
Privileged Multi-label Learning
Privileged Multi-label Learning
Shan You
Chang Xu
Yunhe Wang
Chao Xu
Dacheng Tao
46
29
0
25 Jan 2017
Learning in an Uncertain World: Representing Ambiguity Through Multiple
  Hypotheses
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Christian Rupprecht
Iro Laina
R. DiPietro
Maximilian Baust
Federico Tombari
Nassir Navab
Gregory D. Hager
76
185
0
01 Dec 2016
Deep Label Distribution Learning with Label Ambiguity
Deep Label Distribution Learning with Label Ambiguity
Bin-Bin Gao
Chao Xing
Chen-Wei Xie
Jianxin Wu
Xin Geng
65
431
0
06 Nov 2016
Improving Multi-label Learning with Missing Labels by Structured
  Semantic Correlations
Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations
Hao Yang
Qiufeng Wang
Jianfei Cai
97
66
0
04 Aug 2016
Deep Attributes from Context-Aware Regional Neural Codes
Deep Attributes from Context-Aware Regional Neural Codes
Jianwei Luo
Jianguo Li
Jun Wang
Zhi-guo Jiang
Yurong Chen
ObjD
20
6
0
08 Sep 2015
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