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Transformer-based Dual Relation Graph for Multi-label Image Recognition

Transformer-based Dual Relation Graph for Multi-label Image Recognition

10 October 2021
Jiawei Zhao
Ke Yan
Yifan Zhao
Xiaowei Guo
Feiyue Huang
Jia Li
    ViT
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Papers citing "Transformer-based Dual Relation Graph for Multi-label Image Recognition"

11 / 11 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
39
0
0
25 Apr 2025
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation
Qi Bi
Shaodi You
Theo Gevers
51
1
0
29 Mar 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
42
2
0
19 Mar 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
29
1
0
27 Oct 2023
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth
  Estimation
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
Youhong Wang
Yunji Liang
Hao Xu
Shaohui Jiao
Hongkai Yu
MDE
25
33
0
01 Sep 2023
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for
  Multi-Label Image Recognition
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Ruijie Yao
Sheng Jin
Lumin Xu
Wang Zeng
Wentao Liu
Chao Qian
Ping Luo
Ji Wu
28
2
0
28 Aug 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
29
8
0
08 Jul 2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and
  Monocular Depth Estimation
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
Saurabh Saxena
Charles Herrmann
Junhwa Hur
Abhishek Kar
Mohammad Norouzi
Deqing Sun
David J. Fleet
DiffM
33
78
0
02 Jun 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
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation
Zhenyu Li
Xuyang Wang
Xianming Liu
Junjun Jiang
MDE
24
191
0
03 Apr 2022
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
1