Parallel Feature Pyramid Network for Object Detection

ECCV 2018 Seung-Wook KimHyong-Keun KookJee-Young SunMun-Cheon KangSung-Jea Ko

Recently developed object detectors employ a convolutional neural network (CNN) by gradually increasing the number of feature layers with a pyramidal shape instead of using a featurized image pyramid. However, the different abstraction levels of the CNN feature layers often limit the detection performance, especially on small objects... (read more)

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