Deep Metric Learning on CUB-200-2011 benchmark leaderboard · SOTA2 Research

Deep Metric Learning on CUB-200-2011

73.23Recall@1CouCE

Evaluation Results

Method	Links
CouCE2026.06		73.23	82.24	40.37	30.03	74.23
PFML2026.06		71.01	81.67	38.1	28.28	73.24
CouCE2026.06		70.95	80.9	38.35	27.45	72.15
DADA2026.06		70.69	81.68	37.23	27.31	72.84
ACL2026.06		69.73	80.83	36.26	25.66	73.39
DDML2026.06		69.39	80.85	36.12	25.66	72.8
PLG2026.06		69.22	80.14	34.49	24.86	73.09
PFML2026.06		69.13	80.38	36.53	25.93	71.32
HIST2026.06		69.09	80.01	34.08	24.24	72.03
ACL2026.06		68.83	80.11	35.73	24.95	71.29
IDML2026.06		68.56	79.45	35.88	25.21	73.35
NIR2026.06		68.49	79.86	34.94	24.04	72.09
HSE2026.06		68.45	79.85	35.75	24.97	71.42
PLG2026.06		68.25	79.92	34.12	24.33	71.52
HIER2026.06		68.09	78.73	35.4	24.52	71.25
MFT2026.06		67.92	79.11	37.12	26.73	68.58
DADA2026.06		67.89	79.84	35.66	25.72	72.01
NIR2026.06		67.76	79.16	34.3	23.85	71.02
DCML2026.06		67.73	79.86	35.99	25.28	72.08
DDML2026.06		67.71	79.23	35.68	25.12	71.71
MFT2026.06		67.66	78.89	36.57	26.08	68.04
HIST2026.06		67.48	79.02	33.13	23.54	70.69
DAS2026.06		67.35	78.53	33.18	23.68	71.21
DAS2026.06		64.89	77.7	32.18	22.95	70.24