A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs
A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs
This paper presents a new self-supervised system for learning to detect novel and previously unseen categories of objects in images. The proposed system receives as input several unlabeled videos of scenes containing various objects. The frames of the videos are segmented into objects using depth information, and the segments are …