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Classification on VisDA-C (test)

91.71Accuracy (3D trainset)WATT-S
83.733285.804187.87589.9459Jun 19, 2024

Evaluation results

MethodLinks
WATT-SVisual Encoder=ViT-L/142024.0691.7186.889.26
TENTVisual Encoder=ViT-L/142024.0691.485.7788.59
CLIPARTTVisual Encoder=ViT-L/142024.0691.3485.6188.48
CLIPVisual Encoder=ViT-L/142024.0691.2485.6288.43
TPTVisual Encoder=ViT-L/142024.0690.6585.4188.03
WATT-SVisual Encoder=ViT-B/162024.0687.7286.7587.24
WATT-PVisual Encoder=ViT-B/162024.0687.6186.6687.14
CLIPARTTVisual Encoder=ViT-B/162024.0687.5886.687.09
TENTVisual Encoder=ViT-B/162024.0687.5786.8187.19
CLIPVisual Encoder=ViT-B/162024.0687.1686.6186.89
TPTVisual Encoder=ViT-B/162024.0684.0485.984.97