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Long-tailed Image Classification on CIFAR10-LT imbalance factor 100 (test)

82.6Top-1 Accuracy

DRO-LT (Learned ε)

Updated 1mo ago

Evaluation Results

Method	Links
DRO-LT (Learned ε) 2021.04		82.6
ACE 2021.08		81.4
ACE 2021.08		81.2
CAM 2021.08		80
BBN 2021.08		79.8
smDragon 2021.04		79.6
LDAM+M2m 2021.08		79.1
Logit Adj. 2021.08		77.7
LDAM DRW 2021.04		77.03
LDAM+DRW 2021.08		77
CB Focal loss 2021.08		74.6
CB LWS 2021.04		73.5
Mixup 2021.08		73.1
CE 2021.04		72.1
Focal loss 2021.08		70.4
Baseline 2021.08		69.8
Ours 2024.08		64
Ours 2024.08		58.2
Ours 2024.08		53.4
IDM 2024.08		53.1
Random 2024.08		52.6
IDM 2024.08		50.9
IDM 2024.08		49.8
MTT 2024.08		47.8
DATM 2024.08		44.3
DREAM 2024.08		42.2
MTT 2024.08		41.6
Random 2024.08		41.4
DATM 2024.08		38.9
DC 2024.08		38.1
MTT 2024.08		37.7
DATM 2024.08		37.3
DC 2024.08		36.7
DC 2024.08		35.3
DREAM 2024.08		34.9
Random 2024.08		34.4
Graph-Cut 2024.08		33.3
DREAM 2024.08		30.8
Minimax 2024.08		28
Graph-Cut 2024.08		26
K-Center Greedy 2024.08		24.2
Minimax 2024.08		23.3
Graph-Cut 2024.08		22.9
Minimax 2024.08		19.9
K-Center Greedy 2024.08		19
K-Center Greedy 2024.08		16.2