walsvid/CoordConv

Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

45
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Emerging

This project helps deep learning engineers improve how their convolutional neural networks (CNNs) handle spatial relationships in data. It takes standard PyTorch convolutional layers and augments them to include coordinate information, which can lead to more accurate predictions, especially for tasks sensitive to an object's position. This is for machine learning engineers and researchers building and training CNN models.

163 stars. No commits in the last 6 months.

Use this if your convolutional neural networks struggle with tasks that require precise understanding of an object's location or its relationship to other elements within an image or sequence.

Not ideal if you are working with non-spatial data, or if your current CNNs already achieve satisfactory performance on coordinate-sensitive tasks.

deep-learning-model-building computer-vision image-recognition neural-network-training time-series-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

163

Forks

28

Language

Jupyter Notebook

License

MIT

Last pushed

Jan 08, 2024

Commits (30d)

0

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