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20182026
most citedMMRotate: A Rotated Object Detection Benchmark using PyTorch

397 citations · 846 across the 21 of their papers we have counts for

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Showing 2022 · cs.CVShow all

5 papers · 2 filters

cs.CV2022★ 24 cited

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

Xue Yang, Gefan Zhang, Wentong Li +3

Oriented object detection emerges in many applications from aerial images to autonomous driving, while many existing detection benchmarks are annotated with horizontal bounding box…

cs.CV2022

Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization

Xue Yang, Gefan Zhang, Xiaojiang Yang +5

Existing detection methods commonly use a parameterized bounding box (BBox) to model and detect (horizontal) objects and an additional rotation angle parameter is used for rotated…

cs.CV2022★ 96 cited

G-Rep: Gaussian Representation for Arbitrary-Oriented Object Detection

Liping Hou, Ke Lu, Xue Yang +2

Typical representations for arbitrary-oriented object detection tasks include oriented bounding box (OBB), quadrilateral bounding box (QBB), and point set (PointSet). Each represen…

cs.CV2022★ 397 cited

MMRotate: A Rotated Object Detection Benchmark using PyTorch

Yue Zhou, Xue Yang, Gefan Zhang +9

We present an open-source toolbox, named MMRotate, which provides a coherent algorithm framework of training, inferring, and evaluation for the popular rotated object detection alg…

cs.CV2022★ 91 cited

The KFIoU Loss for Rotated Object Detection

Xue Yang, Yue Zhou, Gefan Zhang +5

Differing from the well-developed horizontal object detection area whereby the computing-friendly IoU based loss is readily adopted and well fits with the detection metrics. In con…