Before revision:  Semi-supervised alternative strategies which make use only of sparse anno-tations suffer from longer training times and achieved models tend tohave increased capacity compared to 2D CNNs, needing more groundtruth data to attain similar results.
After revision:  Semi-supervised alternative strategies which make use only of sparse annotations suffer from longer training times and achieved models tend tohave increased capacity compared to 2D CNNs, needing more groundtruth data to attain similar results.