On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

Trend · papers per month

count % of corpus

3 results for “ModelNet”

A Graph-CNN for 3D Point Cloud Classificationcs.CV

Graph-CNN for 3D point cloud classification tackles non-regular graph topology.

problem Classifying 3D point cloud data with non-regular graph topology.

method Developed PointGCN combining localized graph convolutions and graph downsampling.

result Achieves competitive performance on 3D object classification benchmark ModelNet.

Graph-CNN 3D point cloud classification local structure ModelNet

2018-11-28abs ↗pdf ↗

Generative and Discriminative Voxel Modeling with Convolutional Neural Networkscs.CV

When working with three-dimensional data, choice of representation is key. We explore voxel-based models, and present evidence for the viability of voxellated representations in applications including shape modeling and object classification. Our key contributions are methods for training voxel-based variational autoen…

2016-08-15abs ↗pdf ↗

Triangle-Net: Towards Robustness in Point Cloud Learningcs.CV

Proposes a robust 3D classification method for sparse point clouds.

problem Invariance to rotation, positional shift, scaling, and robustness to point sparsity in point cloud classification.

method Introduces a graph-based feature learning approach with an end-to-end neural network.

result Significantly improves 3D object classification and retrieval tasks with sparse point clouds.

3D object recognition point cloud learning robustness sparse data neural networks

2020-02-27abs ↗pdf ↗