Semantic Scene Difference Detection in Daily Life Patroling by Mobile Robots Using Pre-Trained Large-Scale Vision-Language Model
Yoshiki Obinata,Kento Kawaharazuka,Naoaki Kanazawa,Naoya Yamaguchi,Naoto Tsukamoto,Iori Yanokura,Shingo Kitagawa,Koki Shinjo,Kei Okada,Masayuki Inaba,Yoshiki Obinata,Kento Kawaharazuka,Naoaki Kanazawa,Naoya Yamaguchi,Naoto Tsukamoto,Iori Yanokura,Shingo Kitagawa,Koki Shinjo,Kei Okada,Masayuki Inaba
It is important for daily life support robots to detect changes in their environment and perform tasks. In the field of anomaly detection in computer vision, probabilistic and deep learning methods have been used to calculate the image distance. These methods calculate distances by focusing on image pixels. In contrast, this study aims to detect semantic changes in the daily life environment using...
