Generative Low-Shot Network Expansion

no code implementations • ICLR 2018 • Adi Hayat, Mark Kliger, Shachar Fleishman, Daniel Cohen-Or

We present a simple yet powerful hard distillation method where the base network is augmented with additional weights to classify the novel classes, while keeping the weights of the base network unchanged.

MeshCNN: A Network with an Edge

1 code implementation • 16 Sep 2018 • Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or

In this paper, we utilize the unique properties of the mesh for a direct analysis of 3D shapes using MeshCNN, a convolutional neural network designed specifically for triangular meshes.

3D Part Segmentation Cube Engraving Classification

ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning

1 code implementation • 23 Apr 2018 • Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or

The process of aligning a pair of shapes is a fundamental operation in computer graphics.

Memorization

Novelty Detection with GAN

no code implementations • ICLR 2018 • Mark Kliger, Shachar Fleishman

The ability of a classifier to recognize unknown inputs is important for many classification-based systems.

General Classification Novelty Detection