Multi-Oriented Rotation-Equivariant Network for Object Detection on Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3167530
Abstract: Object detection has attracted a lot of attention in the field of image automatic interpretation. Detectors based on convolution neural networks (CNNs) applied in natural scene images encode detection results with horizontal bounding boxes (HBBs),… read more here.
Keywords: rotation equivariant; remote sensing; detection; object detection ... See more keywords
Multi-Oriented Object Detection in Aerial Images With Double Horizontal Rectangles
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3191753
Abstract: Most existing methods adopt the quadrilateral or rotated rectangle representation to detect multi-oriented objects. Yet, the same oriented object may correspond to several different representations, due to different vertex ordering, or angular periodicity and edge… read more here.
Keywords: horizontal rectangles; oriented object; object detection; double horizontal ... See more keywords