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
Robust and Rotation-Equivariant Contrastive Learning.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3243258
Abstract: Contrastive learning (CL) methods achieve great success by learning the invariant representation from various transformations. However, rotation transformations are considered harmful to CL and are rarely used, which results in failure when the objects show… read more here.
Keywords: rotation equivariant; rotation; refosnet; unseen orientations ... See more keywords