Fine-grained Classification on Birds-31 benchmark leaderboard · SOTA2 Research

Fine-grained Classification on Birds-31

81.25Accuracy (C to I)CFSG

Evaluation Results

Method	Links
CFSG2026.01		81.25	85.31	98.12	93.44	99.06	85.94	90.52
HSSH2026.01		80.43	90.39	95.25	94.33	96.17	87.57	90.69
CFSG2026.01		72.81	80.94	94.06	88.13	95.31	78.44	84.95
CFSG2026.01		70.94	76.88	90.63	84.69	94.06	75.63	82.14
PAN (DA)2026.01		69.79	84.19	90.46	88.1	92.51	75.03	83.34
FSDG2026.01		66.32	83.71	90.96	87.36	91.95	74.2	82.37
S-FSDG2026.01		63.66	82.43	89.56	85.8	92.03	72.91	81.06
ERM2026.01		54.64	72.93	85.01	74.97	86.1	62.51	72.69
CORAL2026.01		54.64	72.93	81.01	74.97	86.1	62.51	72.03
MIRO2026.01		54.39	74.87	82.36	75.34	86.42	62.48	72.64
SAGM2026.01		54.04	73.63	82.96	77.01	87.88	63.49	73.17
SagNet2026.01		53.66	71.75	81.39	74.13	85.66	62.06	71.44
MLDG2026.01		53.55	72.19	80.74	74.83	85.61	61.95	71.48
DANN2026.01		52.75	71.82	80.79	73.59	85.55	61.53	71.01
GroupDRO2026.01		52.61	70.78	81.87	74.4	86.26	61.32	71.21
Mixup2026.01		52.36	71.65	82.36	75.17	85.61	62.34	71.58
ARM2026.01		50.51	71.25	77.38	74.2	84.74	59.82	69.65
MixStyle2026.01		49.95	69.04	74.46	68.34	83.6	57.12	67.09
RIDG2026.01		47.15	66.71	82.47	73.63	85.77	60.98	69.45