Vehicle Recognition on MOD benchmark leaderboard · SOTA2 Research

Vehicle Recognition on MOD

98.05AccuracyFOCAL

Evaluation Results

Method	Links
FOCAL2023.10		98.05	98
FOCAL2023.10		97.32	97.29
TNC2023.10		95.18	95.28
Supervised2023.10		94.04	93.99
MoCo2023.10		93.9	93.84
GMC2023.10		92.57	92.67
SimCLR2023.10		92.5	92.47
CMC2023.10		91.96	91.86
CMC2023.10		91.29	91.05
Cosmo2023.10		89.89	89.98
Supervised2023.10		89.48	89.31
SimCLR2023.10		88.55	88.55
MoCo2023.10		88.08	88.12
Cocoa2023.10		87.74	87.64
TS-TCC2023.10		87.34	87.35
TS-TCC2023.10		87.07	87.35
GMC2023.10		86.4	86.11
TNC2023.10		85.33	85.39
MAE2023.10		78.03	77.72
TS2Vec2023.10		76.69	76.48
TS2Vec2023.10		72.54	71.74
Cocoa2023.10		70.4	70.38
MAE2023.10		59.81	59.93
MTSS2023.10		42.06	41.63
MTSS2023.10		41.53	35.82
Cosmo2023.10		34.29	33.78