ssFPN: Scale Sequence (S2) Feature-Based Feature Pyramid Network for Object Detection

Object detection is a fundamental task in computer vision. Over the past several years, convolutional neural network (CNN)-based object detection models have significantly improved detection accuracyin terms of average precision (AP). Furthermore, feature pyramid networks (FPNs) are essential module...

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Bibliographic Details
Main Authors:	Kang, J.-W (Author), Kim, B.-G (Author), Park, H.-J (Author)
Format:	Article
Language:	English
Published:	MDPI 2023
Subjects:	Classification (of information) Convolution Convolutional neural network convolutional neural network (CNN) Convolutional neural networks deep learning Deep learning Detection models Feature extraction Feature pyramid feature pyramid network Feature pyramid network Image enhancement object detection Object detection Object recognition Objects detection Optical resolving power Pyramid network scale sequence (S2) feature Scale sequence (S2) feature Small objects
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ssFPN: Scale Sequence (S2) Feature-Based Feature Pyramid Network for Object Detection

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