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Towards Overcoming False Positives in Visual Relationship Detection

Towards Overcoming False Positives in Visual Relationship Detection

23 December 2020
Daisheng Jin
Xiao Ma
Chongzhi Zhang
Yizhuo Zhou
Jiashu Tao
Mingyuan Zhang
Haiyu Zhao
Shuai Yi
Zhoujun Li
Xianglong Liu
Hongsheng Li
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Papers citing "Towards Overcoming False Positives in Visual Relationship Detection"

5 / 5 papers shown
Title
What to look at and where: Semantic and Spatial Refined Transformer for
  detecting human-object interactions
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions
A S M Iftekhar
Hao Chen
Kaustav Kundu
Xinyu Li
Joseph Tighe
Davide Modolo
ViT
29
50
0
02 Apr 2022
Scene Graph Generation: A Comprehensive Survey
Scene Graph Generation: A Comprehensive Survey
Guangming Zhu
Liang Zhang
Youliang Jiang
Yixuan Dang
Haoran Hou
...
Mingtao Feng
Xia Zhao
Qiguang Miao
Syed Afaq Ali Shah
Bennamoun
3DV
17
81
0
03 Jan 2022
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
170
550
0
21 Jul 2020
VSGNet: Spatial Attention Network for Detecting Human Object
  Interactions Using Graph Convolutions
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
Oytun Ulutan
A S M Iftekhar
B. S. Manjunath
66
186
0
11 Mar 2020
Deep Contextual Attention for Human-Object Interaction Detection
Deep Contextual Attention for Human-Object Interaction Detection
Tiancai Wang
Rao Muhammad Anwer
M. H. Khan
F. Khan
Yanwei Pang
Ling Shao
Jorma T. Laaksonen
61
119
0
17 Oct 2019
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