Extended Feature Pyramid Network for Small Object Detection

Small object detection remains an unsolved challenge because it is hard to extract the information of small objects with only a few pixels. While scale-level corresponding detection in feature pyramid network alleviates this problem, we find feature coupling of various scales still impairs the perfo...

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Vydané v:	IEEE transactions on multimedia Ročník 24; s. 1968 - 1979
Hlavní autori:	Deng, Chunfang, Wang, Mengmeng, Liu, Liang, Liu, Yong, Jiang, Yunliang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Datasets deep learning Detectors Distillation Feature extraction feature pyramid feature super-resolution knowledge distillation Object detection Object recognition Pipelines Semantics Signal resolution Small object detection Superresolution
ISSN:	1520-9210, 1941-0077
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