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Mengzhe He

2 accepted papers

2022

Cross Domain Object Detection by Target-Perceived Dual Branch Distillation

CVPR 2022poster

Cross domain object detection is a realistic and challenging task in the wild. It suffers from performance degradation due to large shift of data distributions and lack of instance-level annotations in the target domain. Existing approaches mainly focus on either of these two difficulties, even thou…

Cited by 90PDFcodeScholar
2022

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection

CVPR 2022oral

Domain adaptive object detection (DAOD) is a promising way to alleviate performance drop of detectors in new scenes. Albeit great effort made in single source domain adaptation, a more generalized task with multiple source domains remains not being well explored, due to knowledge degradation during…

Cited by 31PDFScholar