RFB

2000년 도입 · 논문 8편에서 사용

Receptive Field Block (RFB) is a module for strengthening the deep features learned from lightweight CNN models so that they can contribute to fast and accurate detectors. Specifically, RFB makes use of multi-branch pooling with varying kernels corresponding to RFs of different sizes, applies dilated convolution layers to control their eccentricities, and reshapes them to generate final representation.

출처: Receptive Field Block Net for Accurate and Fast Object Detection

소개 논문: Receptive Field Block Net for Accurate and Fast Object Detection