Anomaly Detection on SiM3D real-to-real benchmark leaderboard · SOTA2 Research

Anomaly Detection on SiM3D real-to-real

88.7Mean I-AUROCSGANet

Evaluation Results

Method	Links
SGANet2026.04		88.7	84.5	99	96.4	83	84.1	77.8	100	84.7
PatchCore2026.04		86.7	73.6	100	74.5	79.5	86	86.5	100	93.1
MODMAP2026.04		84.4	90.9	99	94.5	64.7	74	60.7	91.6	100
PatchCore2026.04		84.1	90	100	83.6	79.5	75.3	55.3	91.7	97.2
PatchCore2026.04		75.4	74	98.7	63.6	77.7	77.4	55.1	100	56.6
MVAD2026.04		72.1	57.3	99	42.7	72.7	66.9	56.7	93.8	87.5
BTF2026.04		70.7	—	—	—	—	—	—	—	—
AST2026.04		69.6	100	90	80	42	63.6	44.8	50	86.1
AST2026.04		68.8	95	92.7	78.5	47.4	54.2	47	42.8	92.5
PatchCore2026.04		67.8	50	95.8	63.6	62.2	57.8	56.3	100	56.3
M3DM2026.04		65.9	—	—	—	—	—	—	—	—
M3DM2026.04		62.1	70.2	98.8	66.1	54.5	55.6	64.9	39.2	47.5
M3DM2026.04		62.1	70.2	98.8	66.1	54.5	55.6	64.9	39.2	47.5
PatchCore2026.04		60	—	—	—	—	—	—	—	—
EfficientAD2026.04		58.6	28	73.2	0	87.8	42.4	73	92.8	71.2
EfficientAD2026.04		58.6	28	73.2	0	87.8	42.4	73	92.8	71.2
AST2026.04		58.4	53.7	56.6	61.1	51.5	57.3	49.6	83.9	53.7
PatchCore2026.04		58.2	—	—	—	—	—	—	—	—
AST2026.04		55	90	26	61.8	62.5	54.7	42.3	62.5	40.3
CFM2026.04		54.8	—	—	—	—	—	—	—	—
BTF2026.04		47.8	42.1	21.7	50.4	56.5	54.5	47.1	67.8	42.4
BTF2026.04		47.8	42.1	21.7	50.4	56.5	54.5	47.1	67.8	42.4
CFM2026.04		44.8	19.8	30.1	7.4	51.5	48.3	45.6	73.2	82.5
CFM2026.04		42.6	37.3	31.3	1.8	52.3	33	48.8	75	61.1
PatchCore2026.04		41.5	—	—	—	—	—	—	—	—