Abstract: Few-shot domain-adaptive object detection (FSDAOD) aims to transfer knowledge from a source domain to a target domain with limited labeled data, which faces severe challenges in the field of ...
Abstract: Road object detection is pivotal in autonomous vehicles, traffic management, and safety. Traditional methods have limitations in complex real-world road scenarios. Deep learning, with its ...
AUSTIN, Texas — Driving through Austin may soon get a little easier. On Thursday, the Austin City Council could greenlight a nearly $11 million plan to improve vehicle detection at traffic signals, ...
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