This paper introduces MCTrack, a new 3D multi-object tracking method that achieves state-of-the-art (SOTA) performance across KITTI, nuScenes, and Waymo datasets. Addressing the gap in existing ...
Abstract: In the context of autonomous driving, environmental perception within a 360-degree field of view is extremely important. This can be achieved via the detection of three-dimensional (3D) ...
Abstract: Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distinguishability ...
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