Table 3:

Performance of DMNet segmentation and tracking pipeline on CTC-6 of March 2021. For each performance metric, the first row is accuracy and the second row is ranking compared to all other submitted algorithms (as of March 2021). Top three performance of DMNet by cell type are bolded.

Dataset	BF-C2DL-HSC	BF-C2DL-MuSC	DIC-C2DH-HeLa	Fluo-C2DL-MSC	Fluo-N2DH-GOWT1	Fluo-N2DL-HeLa	PhC-C2DH-U373	PhC-C2DL-PSC
OPCTB	0.828	0.849	0.854	0.591	0.939	0.953	0.947	0.821
	6/10	2/10	6/20	12/26	2/35	1/33	3/24	4/26
OPCSB	0.835	0.860	0.864	0.602	0.939	0.954	0.949	0.826
	10/14	3/14	12/27	17/32	5/42	1/40	6/30	6/33
DET	0.971	0.979	0.926	0.681	0.946	0.985	0.975	0.945
	8/14	2/14	13/27	17/32	10/42	10/40	16/30	9/33
SEG	0.699	0.742	0.802	0.522	0.931	0.923	0.923	0.708
	6/10	2/10	6/20	13/26	1/35	1/33	3/24	4/26
TRA	0.957	0.957	0.907	0.661	0.946	0.983	0.972	0.933
	4/10	4/10	9/20	12/26	7/35	10/33	11/24	8/26