Abstract: In this paper, we investigate the paradigm of deep learning techniques to enhance the performance of visual-based SLAM systems, particularly in challenging environments. By leveraging deep ...
In this paper, we introduce LV2DMOT, a tracker that employs a novel paradigm for integrating motion and appearance cues through language and visual multi-modal feature learning, thereby generating ...
Additionally, 25 studies focusing on the Wisconsin Card Sorting Test (WCST) paradigm confirmed the importance of these regions in reasoning processes. The gender-specific activation results indicate ...
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