Memory-based trackers such as SAM2 demonstrate remarkable performance, however still struggle with distractors. We propose a new plug-in distractor-aware memory (DAM) and management strategy that ...
Abstract: Object detection is a fundamental task in computer vision, involving the prediction of bounding boxes and class labels for Regions of Interest (ROI) within images. Traditionally, ...
Abstract: To mitigate the heavy reliance on semantic information and the unreliability of manual feature extraction in dynamic simultaneous localization and mapping (SLAM) and object tracking systems, ...
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