Abstract: This paper aims to bridge perception and planning in navigation systems by learning optimal trajectories from depth information in an end-to-end fashion. However, using neural networks as ...

Abstract: In contemporary self-supervised contrastive algorithms such as SimCLR and MoCo, the task of balancing attraction between two semantically similar samples and repulsion between two samples of ...