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 ...

As we swiftly move toward the second half of the year, companies and their leaders are already setting strategies to seize ...

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 ...