Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation

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Few-shot learning methods Few-shot learning methods
3D Shape Segmentation With Projective Convolutional Networks 3D Shape Segmentation With Projective Convolutional Networks
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss
Few-Shot Shape Recognition by Learning Deep Shape-Aware Features Few-Shot Shape Recognition by Learning Deep Shape-Aware Features
“Disentangling 3D Prototypical Networks For Few-Shot Concept Learning” ICLR 2021 video presentation “Disentangling 3D Prototypical Networks For Few-Shot Concept Learning” ICLR 2021 video presentation
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning #ICLR2021 Disentangling 3D Prototypical Networks for Few-Shot Concept Learning #ICLR2021
Stanford CS330 I Unsupervised Pre-training for Few-shot Learning l 2022 I Lecture 8 Stanford CS330 I Unsupervised Pre-training for Few-shot Learning l 2022 I Lecture 8
CRNet: Cross-Reference Networks for Few-Shot Segmentation CRNet: Cross-Reference Networks for Few-Shot Segmentation