Table 2. Comparison of segmentation IoU scores for different weight initialization methods versus the best results on each benchmark as reported in the publication presenting the segmentation task.

All IoU scores are the average of five independent runs. References listed after the benchmark names indicate the sources for Reported IoU scores.

Benchmark	Training Iterations	Random Init.	IN-super	IN-moco	CEM500K-moco	Reported
All Mitochondria	10000	0.587	0.653	0.653	0.770	–
CREMI Synaptic Clefts	5000	0.000	0.196	0.226	0.254	–
Guay (Guay et al., 2020)	1000	0.308	0.275	0.300	0.429	0.417
Kasthuri++ (Casser et al., 2018)	10000	0.905	0.908	0.911	0.915	0.845
Lucchi++ (Casser et al., 2018)	10000	0.894	0.865	0.892	0.895	0.888
Perez (Perez et al., 2014)	2500	0.672	0.886	0.883	0.901	0.821
Lysosomes	–	0.842	0.838	0.816	0.849	0.726
Mitochondria	–	0.130	0.860	0.866	0.884	0.780
Nuclei	–	0.984	0.987	0.986	0.988	0.942
Nucleoli	–	0.731	0.859	0.865	0.885	0.835
UroCell	2500	0.424	0.584	0.618	0.734	–