Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection-Reference-Cited by-同舟云学术

Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection

Author:

Chen Chaoqi¹,Li Jiongcheng²,Zhou Hong-Yu¹,Han Xiaoguang³,Huang Yue²,Ding Xinghao²,Yu Yizhou¹

Affiliation:

1. Department of Computer Science, The University of Hong Kong, Hong Kong

2. Department of Information and Communication Engineering, Xiamen University, Xiamen, China

3. Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China

Funder

Hong Kong Research Grants Council Research Impact Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference103 articles.

2. Pixel-level cycle association: A new perspective for domain adaptive semantic segmentation;kang;Proc 34th Int Conf Neural Inf Process Syst,2020

4. Learning factorized representations for open-set domain adaptation;baktashmotlagh;Proc Int Conf Learn Representations,2019

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