Description
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.
Papers Using This Method
SpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans2022-05-03Efficient Scale-Permuted Backbone with Learned Resource Distribution2020-10-22Rethinking Pre-training and Self-training2020-06-11Evolving Normalization-Activation Layers2020-04-06SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization2019-12-10