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Part Segmentation on ShapeNet In-Context 1.0 (test)

83.9mIoUDeformPIC
2.2623.45544.6565.845Apr 3, 2026

Evaluation results

MethodLinks
DeformPICTraining Paradigm=In-Context Learning2026.0483.9
PIC-S-CatTraining Paradigm=In-Context Learning2026.0483.8
PIC-S-SepTraining Paradigm=In-Context Learning2026.0483.7
ACTTraining Paradigm=Task-Specific, Pre-trained=No2026.0481.2
PCTTraining Paradigm=Task-Specific, Pre-trained=No2026.0479.5
PIC-CatTraining Paradigm=In-Context Learning2026.0479
PointNetTraining Paradigm=Task-Specific, Pre-trained=No2026.0477.5
DGCNNTraining Paradigm=Task-Specific, Pre-trained=No2026.0476.1
PIC-SepTraining Paradigm=In-Context Learning2026.0475
PCP-MAETraining Paradigm=Multitask, Pre-trained=Yes2026.0449.8
UniPre3DTraining Paradigm=Multitask, Pre-trained=Yes2026.0444
I2P-MAETraining Paradigm=Multitask, Pre-trained=Yes2026.0422.6
DGCNNTraining Paradigm=Multitask, Pre-trained=No2026.0417
PCTTraining Paradigm=Multitask, Pre-trained=No2026.0416.7
PointNetTraining Paradigm=Multitask, Pre-trained=No2026.0415.3
ACTTraining Paradigm=Multitask, Pre-trained=Yes2026.0412.1
ReConTraining Paradigm=Multitask, Pre-trained=Yes2026.047.7
Point-MAETraining Paradigm=Multitask, Pre-trained=Yes2026.045.4