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 anno-tations suffer from longer training times and achieved models tend to have increased capacity compared to 2D CNNs, needing more groundtruth data to attain similar results.