Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns
K. Najafian, A. Ghanbari, M. S. Kish, M. Eramian, G. H. Shirdel, I. Stavness, L. Jin, F. Maleki
The paper proposes a semi-self-supervised learning method for wheat head segmentation using minimal manual annotations and achieves high Dice scores on both internal and external datasets.
bioRxiv · Aug 9, 2022Plant Biology