Segmentation from a sentence on J-HMDB Sentences (test) benchmark leaderboard · SOTA2 Research

Segmentation from a sentence on J-HMDB Sentences (test)

0.88P@0.5ClawCraneNet

Evaluation Results

Method	Links
ClawCraneNet2021.03		0.88	0.796	0.566	14.7	0.2	0.433	0.644	0.655
Ours2021.05		0.783	0.639	0.378	7.6	0	0.335	0.598	0.604
ACGA2021.05		0.756	0.564	0.287	3.4	0	0.289	0.576	0.584
Wang et al. [39]2021.03		0.756	0.564	0.287	3.4	0	0.289	0.576	0.584
CMDY2021.05		0.742	0.587	0.316	4.7	0	0.301	0.554	0.576
Wang et al. [38]2021.03		0.742	0.587	0.316	4.7	0	0.301	0.554	0.576
Gavrilyuk et al.2021.05		0.712	0.518	0.264	3	0	0.267	0.555	0.57
Gavrilyuk et al.2021.03		0.712	0.518	0.264	3	0	0.267	0.555	0.57
fully-convolutional model2018.03		0.699	0.46	0.173	1.4	0	0.233	0.541	0.542
Gavrilyuk et al.2021.05		0.699	0.46	0.173	1.4	0	0.233	0.541	0.542
Ning et al.2021.03		0.691	0.572	0.319	6	0.1	0.294	—	—
PRPE2021.05		0.69	0.572	0.319	6	0.1	0.294	—	—
VT-Capsule2021.05		0.677	0.513	0.283	5.1	0	0.261	0.535	0.55
McIntosh et al.2021.03		0.677	0.513	0.283	5.1	0	0.261	0.535	0.55
Hu et al.2018.03		0.633	0.35	0.085	0.2	0	0.178	0.546	0.528
Hu et al.2021.05		0.633	0.35	0.085	0.2	0	0.178	0.546	0.528
Hu et al.2021.03		0.633	0.35	0.085	0.2	0	0.178	0.546	0.528
Li et al.2018.03		0.578	0.335	0.103	0.6	0	0.173	0.529	0.491
Li et al.2021.05		0.578	0.335	0.103	0.6	0	0.173	0.529	0.491
Li et al.2021.03		0.578	0.335	0.103	0.6	0	0.173	0.529	0.491