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20202026
most citedCFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images

248 citations · 844 across the 8 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 8 cited

Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery

Qi Ming, Junjie Song, Zhiqiang Zhou

Oriented object detection in remote sensing images has made great progress in recent years. However, most of the current methods only focus on detecting targets, and cannot disting…

cs.CV2021★ 235 cited

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

Xue Yang, Xiaojiang Yang, Jirui Yang +4

Existing rotated object detectors are mostly inherited from the horizontal detection paradigm, as the latter has evolved into a well-developed area. However, these detectors are di…

cs.CV2021★ 124 cited

Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss

Qi Ming, Lingjuan Miao, Zhiqiang Zhou +2

Arbitrary-oriented objects exist widely in natural scenes, and thus the oriented object detection has received extensive attention in recent years. The mainstream rotation detector…

cs.CV2021★ 205 cited

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

Xue Yang, Junchi Yan, Qi Ming +3

Boundary discontinuity and its inconsistency to the final detection metric have been the bottleneck for rotating detection regression loss design. In this paper, we propose a novel…

cs.CV2021★ 248 cited

CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images

Qi Ming, Lingjuan Miao, Zhiqiang Zhou +1

Object detection in optical remote sensing images is an important and challenging task. In recent years, the methods based on convolutional neural networks have made good progress.…