Image Classification on CIFAR-100-LT Imbalance Factor 100 (test) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR-100-LT Imbalance Factor 100 (test)

58.65Top-1 AccuracyGLMC + LE-SAM

Evaluation Results

Method	Links
GLMC + LE-SAM2026.05		58.65
GLMC + SAM2026.05		57.25
GLMC2026.05		55.9
ResCom2022.03		53.8
Weight Balancing2022.03		53.35
RBL2026.05		53.1
Weight Balancing2022.03		52.42
PaCo2022.03		52
PaCo2022.03		52
Weight Balancing2022.03		51.31
Balanced Softmax2022.03		50.8
Weight Balancing2022.03		50.24
ACE2022.03		49.6
Weight Balancing2022.03		49.6
RIDE2022.03		49.1
RIDE2022.03		48
tau-norm2022.03		47.73
DRO-LT2022.03		47.31
MiSLAS2022.03		47
HCL2026.05		46.7
Weight Balancing2022.03		46.08
SSD2022.03		46
LADE2022.03		45.4
DiVE2022.03		45.35
DiVE2021.03		45.35
ResLT2022.03		45.3
ETF-DR2026.05		45.3
Hybrid-PSC2022.03		45
Meta-learning2021.03		44.7
SEL2026.05		44.5
De-confound2022.03		44.1
Causal Norm2022.03		44.1
TDE2021.03		44.1
Focal-SAM2026.05		44
LFME2021.03		43.8
TSC2026.05		43.8
LDAM+SSP2022.03		43.43
LDAM-DRW+SSP2021.03		43.43
KCL2026.05		42.8
BBN2022.03		42.6
BBN2026.05		42.6
BBN2022.03		42.56
BBN2021.03		42.56
BSCE2021.03		42.39
CE2026.05		42.1
LDAM-DRW2022.03		42.04
LDAM-DRW2021.03		42.04
LogitAjust2022.03		42.01
KD2022.03		40.36
CE+CB2022.03		39.6
Focal+CB2022.03		39.6
Focal2022.03		38.41
Focal+2021.03		38.41
Weight Balancing2022.03		38.38
CE2021.03		38.35
CE2022.03		38.32