Abstract: Domain adaptive object detection (DAOD) aims to infer a robust detector on the target domain with the labelled source datasets. Recent studies utilize a feature extractor shared on the ...

Abstract: Traditional object detection methods are limited by single-sensor constraints, high computational requirements, and poor real-time performance. In addition, occlusion often occurs under the ...