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Occlusion detection on 3D physical scene properties (test)

0.848ROC AUCStable Diffusion
0.486080.580040.6740.76796Oct 10, 2023

Evaluation results

MethodLinks
Stable DiffusionEvaluation protocol=SVM grid search (best time step, layer and C)2023.100.848
DINOv2Backbone=ViT-G, Pre-training dataset=LVD-142M, Evaluation protocol=SVM grid search (best layer and C)2023.100.844
OpenCLIPBackbone=ViT-G, Pre-training dataset=LAION, Evaluation protocol=SVM grid search (best layer and C)2023.100.812
DINOv1Backbone=ViT-B, Pre-training dataset=ImageNet, Evaluation protocol=SVM grid search (best layer and C)2023.100.799
VQGANBackbone=48-layer transformer, Pre-training dataset=ImageNet, Evaluation protocol=SVM grid search (best layer and C)2023.100.784
RandomDescription=Random classifier2023.100.5