Jiongcheng Li — accepted AI-conference papers

2022

Compound Domain Generalization via Meta-Knowledge Encoding

Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu

CVPR 2022poster

Domain generalization (DG) aims to improve the generalization performance for an unseen target domain by using the knowledge of multiple seen source domains. Mainstream DG methods typically assume that the domain label of each source sample is known a priori, which is challenged to be satisfied in m…

Cited by 84 PDF ↗Scholar ↗

2021

Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection

Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

ICCV 2021poster

Domain Adaptive Object Detection (DAOD) relieves the reliance on large-scale annotated data by transferring the knowledge learned from a labeled source domain to a new unlabeled target domain. Recent DAOD approaches resort to local feature alignment in virtue of domain adversarial training in conjun…

Cited by 68 PDF ↗Scholar ↗