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Benchmarks
Long-tail Recognition on ImageNet-LT Backward Ours Setting (test)
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0.5559
Accuracy 1
DirMixE
0.317532
0.379416
0.4413
0.503184
May 13, 2024
Accuracy 1
Accuracy 2
Accuracy 3
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy 1
Accuracy 2
Accuracy 3
DirMixE
2024.05
0.5559
0.5509
0.5625
SADE
2024.05
0.5354
0.5313
0.5382
BalPoE
2024.05
0.5208
0.5146
0.5236
VS
2024.05
0.4403
0.4447
0.4302
RIDE
2024.05
0.4349
0.4452
0.4316
DDC
2024.05
0.425
0.4409
0.4347
LADE
2024.05
0.4153
0.4231
0.4125
LA
2024.05
0.4039
0.4016
0.4014
LDAM
2024.05
0.3267
0.3254
0.32
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