When building AI, you change many things at once: code, data, prompts, models. After a few runs, it becomes unclear what actually caused results to improve or regress. LitLogger records every run as ...
Abstract: Deep learning-based object detection has driven the development of multi-object tracking (MOT). However, the existing MOT methods are mainly aimed at regular motion, which makes it difficult ...
Abstract: Accurately and continuously tracking object vehicles and obtaining their motion information are crucial for safe decision-making and planning in autonomous vehicles. However, the existing ...
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