Deep Metric Learning on Cars-196 benchmark leaderboard · SOTA2 Research

Deep Metric Learning on Cars-196

92.73R@1CouCE

Evaluation Results

Method	Links
CouCE2026.06		92.73	95.53	42.69	34.36	78.24
PFML2026.06		91.4	94.85	40.93	31.88	77.39
DADA2026.06		91.21	94.54	40.48	31.58	76.9
IDML2026.06		89.79	93.66	39.35	30.32	76.94
ACL2026.06		89.55	94.13	39.51	30.16	75.63
CouCE2026.06		89.5	93.8	40.05	31.7	74.65
DDML2026.06		88.9	93.14	38.25	29.26	75.67
PFML2026.06		88.85	93.24	38.56	29.65	73.93
PLG2026.06		88.68	93.96	37.43	27.37	72.21
HSE2026.06		88.33	93.6	38.55	29.62	75.17
HIST2026.06		88.28	93.03	35.69	26.02	73.73
DADA2026.06		88.25	91.64	37.69	28.95	73.16
ACL2026.06		88.22	92.59	37.77	28.74	73.08
NIR2026.06		87.8	92.75	35.76	25.97	74.53
HIER2026.06		87.49	92.36	37.02	27.87	73.47
DAS2026.06		87.06	92.6	34.24	24.71	72.09
DDML2026.06		86.88	91.87	36.35	27.39	72.68
NIR2026.06		86.84	92.22	35.35	25.45	73.52
PLG2026.06		86.55	92.14	35.21	25.81	71.15
DCML2026.06		86.36	91.5	36.38	27.41	72.56
HIST2026.06		86.31	91.94	34.77	25.52	72.61
DAS2026.06		84.85	90.8	33.56	24.01	70.44
MFT2026.06		84.44	90.87	33.73	23.44	67.82
MFT2026.06		83.32	90.83	33.17	23.04	67.45