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3D Layout and Shape Prediction on Hypersim (val)

1Box2D gIoU (Input)Random depth
0.91680.93840.960.9816Jun 14, 2022

Evaluation results

MethodLinks
Random depthPredicts Layout=false, Predicts Shape=false2022.0610.130.580.23.553.28
Fixed depthPredicts Layout=false, Predicts Shape=false2022.0610.220.580.242.732.59
Layout-OnlyPredicts Layout=true, Predicts Shape=false, Views during training=22022.0610.250.580.252.512.35
Layout-OnlyPredicts Layout=true, Predicts Shape=false, Views during training=52022.0610.370.580.31.811.74
USLPredicts Layout=true, Predicts Shape=true, Views during training=22022.0610.30.730.331.91.83
USLPredicts Layout=true, Predicts Shape=true, Views during training=52022.0610.330.740.341.781.72
Mesh R-CNN + USL layoutPredicts Layout=true, Predicts Shape=true, Views during training=5, Shape Pre-training=Pix3D2022.0610.210.360.221.781.72
USL w/ detectionsPredicts Layout=true, Predicts Shape=true, Views during training=5, Object detections=predicted2022.060.920.310.720.331.81.74