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. Author manuscript; available in PMC: 2022 Apr 5.
Published in final edited form as: IEEE Int Conf Comput Vis Workshops. 2021 Nov 24;2021:3354–3363. doi: 10.1109/iccvw54120.2021.00375

Table 2:

DMNet cell tracking performance (OPCTB) on CTC-6 of March 2021. The first row is OPCTB and the second row is ranking compared to other submitted algorithms. All reported results are from the CTC Challenge website. Unreported results are shown as NA. DMNet consistently outperforms other methods on 2D cell tracking.

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 Avg Rank Sum
KIT-Sch-GE 0.901 0.872 0.848 0.683 0.894 0.938 0.925 0.855 0.865
1/10 1/10 8/20 3/26 13/35 10/33 10/24 1/26 47
PURD-US 0.716 0.670 0.684 0.479 0.914 0.941 0.939 0.783 0.766
9/10 10/10 13/20 18/26 10/35 6/33 8/24 9/26 83
CALT-US NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
DMNet (Ours) 0.828 0.849 0.854 0.591 0.939 0.953 0.947 0.821 0.848
6/10 2/10 6/20 12/26 2/35 1/33 3/24 4/26 36