research
∙
10/13/2021
Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery
Oriented object detection in remote sensing images has made great progre...
share
research
∙
07/04/2021
AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations
Adaptive optimization methods have been widely used in deep learning. Th...
research
∙
06/03/2021
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Existing rotated object detectors are mostly inherited from the horizont...
research
∙
03/22/2021
Optimization for Oriented Object Detection via Representation Invariance Loss
Arbitrary-oriented objects exist widely in natural scenes, and thus the ...
research
∙
01/28/2021
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Boundary discontinuity and its inconsistency to the final detection metr...
research
∙
01/18/2021
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images
Object detection in optical remote sensing images is an important and ch...
research
∙
12/08/2020