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Enhanced Neck Feature Representation for Object Detection in Aerial Images. (arXiv:2204.02033v3 [cs.CV] UPDATED)
June 29, 2022, 1:12 a.m. | Yuchen Shen, Dong Zhang, Zhihao Song, Xuesong Jiang, Qiaolin Ye
cs.CV updates on arXiv.org arxiv.org
Object detection in aerial images is a fundamental research topic in the
geoscience and remote sensing domain. However, the advanced approaches on this
topic mainly focus on designing the elaborate backbones or head networks but
ignore neck networks. In this letter, we first underline the importance of the
neck network in object detection from the perspective of information
bottleneck. Then, to alleviate the information deficiency problem in the
current approaches, we propose a global semantic network (GSNet), which acts as …
More from arxiv.org / cs.CV updates on arXiv.org
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