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Object Detection on ScanNet 2D (val)

50.4AP@0.5Mask3D
31.99236.77141.5546.329Feb 28, 2023

Evaluation results

MethodLinks
Mask3DPre-training=Masked 3D prior learning on ImageNet + ScanNet, Backbone=ViT2023.0250.435.332.7
MAE-unsupIN→SNPre-training=MAE (ImageNet unsupervised) to ScanNet, Backbone=ViT2023.0246.132.730.5
Pri3DPre-training=3D-based pre-training on ImageNet + ScanNet2023.0243.72726.3
MoCoV2-supIN→SNPre-training=MoCoV2 (ImageNet supervised) to ScanNet2023.0243.526.825.8
ImageNet Pretrain (supIN)Pre-training=Supervised ImageNet2023.0241.725.925.1
ScratchPre-training=None2023.0232.717.716.9