AirShot: Efficient Few-Shot Detection for Autonomous Exploration

arXiv:2404.05069v1 Announce Type: new
Abstract: Few-shot object detection has drawn increasing attention in the field of robotic exploration, where robots are required to find unseen objects with a few online provided examples. Despite recent efforts have been made to yield online processing capabilities, slow inference speeds of low-powered robots fail to meet the demands of real-time detection-making them impractical for autonomous exploration. Existing methods still face performance and efficiency challenges, mainly due to unreliable features and exhaustive class loops. In …

arxiv autonomous cs.cv detection exploration few-shot type