SpineNet
2000년 도입 · 논문 5편에서 사용
SpineNet is a convolutional neural network backbone with scale-permuted intermediate features and cross-scale connections that is learned on an object detection task by Neural Architecture Search.
출처: SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
소개 논문: SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Convolutional Neural Networks · Computer Vision