5. Large Scale Novel Object Discovery in 3D_Siddharth Srivastava

1.Key idea: Using siamese networt to learn the non-linear embeddings of supervoxels into a euclidean space.

discriminative metric learning: to learn which segments should be fused.        


2.related or based on:
[27]VoxNet
[23]ModelNet dataset: contains a lot of CAD models.




3.new concepts:

discriminative metric learning.



Steps:
(1) Oversegmentation using supervoxels
     [34] Voxel Cloud Connectivity Segmentation(VCCS)
(2)Siamese Deep Network
     [27]VoxeNet (get semantic non-linear embeddings)

(3)Supervoxel Clusting and Postprocessing
     [59]DBSCAN

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