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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Veröffentlicht in:	IEEE transactions on multimedia Jg. 24; S. 1968 - 1979
Hauptverfasser:	Deng, Chunfang, Wang, Mengmeng, Liu, Liang, Liu, Yong, Jiang, Yunliang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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