akomarichev/a-cnn

performance on shapenet

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HezhiCao commented

@artemkomarichev Hi, thanks for your code. I trained A-CNN on ShapeNet-Part, and I got 85.5 overall accuracy (86.1 reported in paper). I don't know why.

eval mIoU of Airplane: 0.830114
eval mIoU of Bag: 0.805713
eval mIoU of Cap: 0.856973
eval mIoU of Car: 0.793102
eval mIoU of Chair: 0.911208
eval mIoU of Earphone: 0.769749
eval mIoU of Guitar: 0.911113
eval mIoU of Knife: 0.845159
eval mIoU of Lamp: 0.840812
eval mIoU of Laptop: 0.960384
eval mIoU of Motorbike: 0.725803
eval mIoU of Mug: 0.953242
eval mIoU of Pistol: 0.825036
eval mIoU of Rocket: 0.637810
eval mIoU of Skateboard: 0.761378
eval mIoU of Table: 0.829875
eval mean mIoU: 0.828592
eval mean mIoU (all shapes): 0.855444

HezhiCao commented

After evalution I can obtain 86.07%

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