pointnet VS AREnets

Compare pointnet vs AREnets and see what are their differences.

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (by charlesq34)

AREnets

Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation (by nicolay-r)
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pointnet AREnets
1 1
4,592 7
- -
0.0 3.9
6 months ago 6 months ago
Python Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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pointnet

Posts with mentions or reviews of pointnet. We have used some of these posts to build our list of alternatives and similar projects.

AREnets

Posts with mentions or reviews of AREnets. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pointnet and AREnets you can also consider the following projects:

Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

h-former - H-Former is a VAE for generating in-between fonts (or combining fonts). Its encoder uses a Point net and transformer to compute a code vector of glyph. Its decoder is composed of multiple independent decoders which act on a code vector to reconstruct a point cloud representing a glpyh.

pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

anime-segmentation - high-accuracy segmentation for anime character