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Classification on ImageNet (test)

55.5kNN AccuracyPiNDA (DINO)
42.458445.844249.2352.6158Aug 19, 2024

Evaluation results

MethodLinks
PiNDA (DINO)Backbone=Transformer, PiNDA Setting=N (0, Σ), Batch size=256, Epochs=1002024.0855.561.22
PiNDA (SimCLR)Backbone=ResNet18, PiNDA Setting=N (0, Σ), Batch size=256, Epochs=1002024.0855.4866.86
DINOBackbone=Transformer, PiNDA Setting=—, Batch size=256, Epochs=1002024.0855.4460.65
SimCLRBackbone=ResNet18, PiNDA Setting=—, Batch size=256, Epochs=1002024.0852.0564.18
PiNDA (MoCo)Backbone=ResNet18, PiNDA Setting=N (0, Σ), Batch size=256, Epochs=1002024.0851.164.58
MoCoBackbone=ResNet18, PiNDA Setting=—, Batch size=256, Epochs=1002024.0850.8364.25
PiNDA (BYOL)Backbone=ResNet18, PiNDA Setting=N (0, Σ), Batch size=256, Epochs=1002024.0843.2556.57
PiNDA (SimSiam)Backbone=ResNet18, PiNDA Setting=N (0, Σ), Batch size=256, Epochs=1002024.0843.1156.78
BYOLBackbone=ResNet18, PiNDA Setting=—, Batch size=256, Epochs=1002024.0843.0456.37
SimSiamBackbone=ResNet18, PiNDA Setting=—, Batch size=256, Epochs=1002024.0842.9656.55