Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Abstract: Creating dense, object-level 3D reconstructions of dynamic scenes is a key challenge in SLAM, enabling applications in robotics and augmented reality. To address this, we present SegFusion, ...
Abstract: Open-vocabulary multiple object tracking (MOT) aims to track arbitrary objects in the real world. Although significant progress has been achieved in object classification by leveraging the ...
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