Video Anomaly Detection on MSAD benchmark leaderboard · SOTA2 Research

Video Anomaly Detection on MSAD

71.3Assault AUCMGFN-OPL

Evaluation Results

Method	Links
MGFN-OPL2026.05		71.3	69.4	61.8	73	87.8	92.8	81	93	94.3	96.5	45.9	45	65.1	81.1	82.7	89.1	64.2	55.2	90.8	86.4	68.7	92	86.2	68.3
IEF-VAD2026.05		66	—	66.3	—	79.8	—	49.4	—	75.9	—	42.5	—	66.9	—	86.9	—	70.1	—	75.8	—	88.9	—	82.1	—
MGFN-OPL2026.05		59.1	56.5	52.7	57	44.3	55.2	63	76.4	58.3	59.3	40.6	36	49.5	70.7	55.3	62.1	49.1	39.6	60.8	53.7	44.4	78.9	78.2	47.5
RTFM-OPL2026.05		57	62.4	77.7	85.7	74.1	84.8	49.6	75.5	87.7	92.1	53.3	50.4	72.4	89	84.1	89.5	69.5	58.7	84.8	80.9	99.2	99.8	86.5	68.2
UR-DMU2026.05		56.9	64.5	67.9	74.5	83.9	90.4	61.2	82.9	92.1	95.8	42.5	43.7	63.5	79.3	81.4	87.8	62	55.6	84.7	77	98.5	99.5	85	68.3
RTFM2026.05		53.9	66.4	66	76.6	79.8	88.6	44.9	71.1	84.6	89.3	45.7	52.6	70.2	88	87.5	89.2	64.1	57.7	74.9	73	98.1	99.6	86.6	68.4
MGFN2026.05		53.9	60.2	59.1	66.5	80.6	89.5	66.1	82.9	89.9	94.6	53.6	44.9	72.2	85.4	68.3	80.6	66.9	54.7	84.4	78.5	81.9	96.1	81.2	59.3
MGFN-G-OPL/OPL2026.05		52.4	59.8	66.5	76.8	88.8	92.2	77.2	89	90.5	95.1	45.9	42.8	65.4	80.1	71.9	81.8	53.9	46.4	83.1	75.1	81.5	96	84	65.8
EGO2026.05		52.2	57.5	57.6	74.4	66.5	72.8	62.9	86.7	92.3	94.8	35.4	43.8	64.8	87.5	68.6	78.4	69.9	64.3	88.1	81.4	81.9	95.4	87.3	64.4
MGFN2026.05		50.2	49.6	50.9	58.1	57.2	67.1	51.4	74.2	41.3	51.6	44.4	40.3	40.1	68.5	51.4	63.9	50.4	42.3	42.6	40.9	58.6	87.2	69.3	33.6
RTFM-G-OPL/OPL2026.05		50.2	62.4	69.4	80.6	69.5	84.4	71.8	87	88.7	92.4	52.3	53.3	71.4	88.2	87.8	91	62.5	54.7	82	79.6	97.5	99.4	88	70.9