Multi-label image recognition with partial labels on VG-200 benchmark leaderboard · SOTA2 Research

Multi-label image recognition with partial labels on VG-200

40.6mAP @ IoU=0.10HST

Evaluation Results

Method	Links
HST2022.05		40.6	41.6	43.3	44.6	45.2	45.8	46.8	47.2	47.8	44.8	—	—
SST2022.05		38.8	39.4	41.1	41.8	42.7	42.9	43	43.2	43.5	41.8	—	—
ASL2022.05		38.4	39.5	40.6	40.6	41.1	41.4	41.4	41.6	41.6	40.7	—	—
KGGR2022.05		36	40	41.2	41.5	42	42.5	43.3	43.6	43.8	41.5	—	—
SSGRL2022.05		34.6	37.3	39.2	40.1	40.4	41	41.3	41.6	42.1	39.7	—	—
GCN-ML2022.05		32	37.8	38.8	39.1	39.6	40	41.9	42.3	42.5	39.3	—	—
Partial BCE2022.05		27.4	38.1	40.2	40.9	41.5	42.1	42.4	42.7	42.7	39.8	—	—
CL2022.05		12.1	19.1	25.1	26.7	30	31.7	35.3	36.8	38.5	28.4	—	—
DSRB2022.05		0.414	0.44	0.448	0.455	0.466	0.475	0.478	0.48	0.482	0.46	0.451	0.377
ASL2022.05		0.384	0.395	0.406	0.406	0.411	0.414	0.414	0.416	0.416	0.407	0.249	0.233
KGGR2022.05		0.36	0.4	0.412	0.415	0.42	0.425	0.433	0.436	0.438	0.415	0.412	0.336
SSGRL2022.05		0.346	0.373	0.392	0.401	0.404	0.41	0.413	0.416	0.421	0.397	0.378	0.261
GCN-ML2022.05		0.32	0.378	0.388	0.391	0.396	0.4	0.419	0.423	0.425	0.393	0.387	0.256
Partial BCE2022.05		0.274	0.381	0.402	0.409	0.415	0.421	0.424	0.427	0.427	0.398	0.361	0.257
CL2022.05		0.121	0.191	0.251	0.267	0.3	0.317	0.353	0.368	0.385	0.284	0.236	0.109