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Dense Nested Attention Network for Infrared Small Target Detection. (arXiv:2106.00487v3 [cs.CV] UPDATED)
Aug. 17, 2022, 1:12 a.m. | Boyang Li, Chao Xiao, Longguang Wang, Yingqian Wang, Zaiping Lin, Miao Li, Wei An, Yulan Guo
cs.CV updates on arXiv.org arxiv.org
Single-frame infrared small target (SIRST) detection aims at separating small
targets from clutter backgrounds. With the advances of deep learning, CNN-based
methods have yielded promising results in generic object detection due to their
powerful modeling capability. However, existing CNN-based methods cannot be
directly applied for infrared small targets since pooling layers in their
networks could lead to the loss of targets in deep layers. To handle this
problem, we propose a dense nested attention network (DNANet) in this paper.
Specifically, …
More from arxiv.org / cs.CV updates on arXiv.org
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