loretoparisi/CapsNet
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
This project offers a collection of implementations and resources for Capsule Networks (CapsNets), a type of neural network capable of recognizing objects more effectively than traditional Convolutional Neural Networks, especially in complex scenarios. It takes image data as input and outputs highly accurate object classifications, even when objects overlap. Data scientists and machine learning researchers exploring advanced computer vision techniques would use this project.
448 stars. No commits in the last 6 months.
Use this if you are a data scientist or researcher working on image recognition tasks and want to explore state-of-the-art models that handle variations in object pose and overlapping objects well.
Not ideal if you are looking for a simple, off-the-shelf image classification tool for basic, non-overlapping object detection.
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Nov 14, 2021
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