Feature Pyramid Networks for Object Detection

Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in recent object detectors that are based on deep convolutional networks, partially because they are slow to compute and memory intensive. In this pa...

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Bibliographic Details

Published in:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 936 - 944
Main Authors:	Tsung-Yi Lin, Dollar, Piotr, Girshick, Ross, Kaiming He, Hariharan, Bharath, Belongie, Serge
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2017
Subjects:	Computer architecture Detectors Feature extraction Object detection Proposals Robustness Semantics
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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