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Greatest papers with code

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

ICLR 2019 lucidrains/perceiver-pytorch

Many machine learning tasks such as multiple instance learning, 3D shape recognition, and few-shot image classification are defined on sets of instances.

3D SHAPE RECOGNITION FEW-SHOT IMAGE CLASSIFICATION MULTIPLE INSTANCE LEARNING

View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis

CVPR 2020 weixmath/view-GCN

View-based approach that recognizes 3D shape through its projected 2D images has achieved state-of-the-art results for 3D shape recognition.

3D SHAPE CLASSIFICATION 3D SHAPE RECOGNITION

On Learning Sets of Symmetric Elements

ICML 2020 Haggaim/On-Learning-Sets-of-Symmetric-Elements

We first characterize the space of linear layers that are equivariant both to element reordering and to the inherent symmetries of elements, like translation in the case of images.

3D SHAPE RECOGNITION DEBLURRING

Learning Discriminative 3D Shape Representations by View Discerning Networks

11 Aug 2018chengz3906/View-Discerning-Network

In this network, a Score Generation Unit is devised to evaluate the quality of each projected image with score vectors.

3D SHAPE RECOGNITION 3D SHAPE REPRESENTATION