SNet
2000년 도입 · 논문 6편에서 사용
SNet is a convolutional neural network architecture and object detection backbone used for the ThunderNet two-stage object detector. SNet uses ShuffleNetV2 basic blocks but replaces all 3×3 depthwise convolutions with 5×5 depthwise convolutions.
출처: ThunderNet: Towards Real-time Generic Object Detection
소개 논문: ThunderNet: Towards Real-time Generic Object Detection
Convolutional Neural Networks · Computer Vision