paper-with-me

DetNASNet

2000년 도입 · 논문 1편에서 사용

DetNASNet is a convolutional neural network designed to be an object detection backbone and discovered through DetNAS architecture search. It uses ShuffleNet V2 blocks as its basic building block.

출처: DetNAS: Backbone Search for Object Detection

소개 논문: DetNAS: Backbone Search for Object Detection

Convolutional Neural Networks · Computer Vision