A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Recently, significant progress has been made on semantic segmentation. However, the success of supervised semantic segmentation typically relies on a large amount of labeled data, which is time-consuming and costly to obtain. Inspired by the success of semi-supervised learning methods for image classification, here we propose a simple yet effective …