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47PCK@0.1ToBo
37.53639.99342.4544.907May 16, 2025May 25, 2025Jun 3, 2025Jun 12, 2025Jun 21, 2025Jun 30, 2025Jul 9, 2025

Evaluation results

MethodLinks
ToBoPre-trained=Kinetics-400, Epochs=4002025.074774.8
PhiNet v2Backbone=ViT-S/16, Pre-training=Kinetics-400, Pre-training Epochs=4002025.054573.6
PhiNet v2Type=Non-contrastive, Architecture=ViT-S/16, Pre-training dataset=Kinetics-400, Pre-training epochs=4002025.054573.6
RSPBackbone=ViT-S/16, Pre-training=Kinetics-400, Pre-training Epochs=4002025.0544.873.3
RSPType=Autoencoder, Architecture=ViT-S/16, Pre-training dataset=Kinetics-400, Pre-training epochs=4002025.0544.873.3
SiamMAEPre-trained=Kinetics-400, Epochs=4002025.0744.773
JEPA-like methodBackbone=ViT-S/16, Pre-training=Kinetics-400, Pre-training Epochs=4002025.0544.773
SiamMAEType=Autoencoder, Architecture=ViT-S/16, Pre-training dataset=Kinetics-400, Pre-training epochs=4002025.0544.773
RSPPre-trained=Kinetics-400, Epochs=4002025.0744.673.4
CropMAEBackbone=ViT-S/16, Pre-training=Kinetics-400, Pre-training Epochs=4002025.0543.471.8
CropMAEType=Autoencoder, Architecture=ViT-S/16, Pre-training dataset=Kinetics-400, Pre-training epochs=4002025.0543.471.8
MAEPre-trained=Kinetics-400, Epochs=4002025.074371.3
MAEType=Autoencoder, Architecture=ViT-S/16, Pre-training dataset=Kinetics-400, Pre-training epochs=4002025.054371.3
CropMAEPre-trained=Kinetics-400, Epochs=4002025.0742.971.1
DINOPre-trained=Kinetics-400, Epochs=4002025.0741.170.3
DinoType=Non-contrastive, Architecture=ViT-S/16, Pre-training dataset=Kinetics-400, Pre-training epochs=4002025.0541.170.3
MoCo v3Pre-trained=Kinetics-400, Epochs=4002025.0738.467.6
MoCo v3Type=Contrastive, Architecture=ViT-S/16, Pre-training dataset=Kinetics-400, Pre-training epochs=4002025.0538.467.6
SimCLRPre-trained=Kinetics-400, Epochs=4002025.0737.966.1
SimCLRType=Contrastive, Architecture=ViT-S/16, Pre-training dataset=Kinetics-400, Pre-training epochs=4002025.0537.966.1