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AO2-DETR: Arbitrary-Oriented Object Detection Transformer. (arXiv:2205.12785v1 [cs.CV])
May 26, 2022, 1:13 a.m. | Linhui Dai, Hong Liu, Hao Tang, Zhiwei Wu, Pinhao Song
cs.CV updates on arXiv.org arxiv.org
Arbitrary-oriented object detection (AOOD) is a challenging task to detect
objects in the wild with arbitrary orientations and cluttered arrangements.
Existing approaches are mainly based on anchor-based boxes or dense points,
which rely on complicated hand-designed processing steps and inductive bias,
such as anchor generation, transformation, and non-maximum suppression
reasoning. Recently, the emerging transformer-based approaches view object
detection as a direct set prediction problem that effectively removes the need
for hand-designed components and inductive biases. In this paper, we propose …
More from arxiv.org / cs.CV updates on arXiv.org
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