Cossim - Sharpened Cosine Distance implementation in PyTorch

Last update: Mar 22, 2022

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Overview

Sharpened Cosine Distance

PyTorch implementation of the Sharpened Cosine Distance operator.

The core idea came from Brandon Rohrer(@brohrer) and the implementation is based on the tf/keras implementation of Raphael Pisoni.

This implementation supports

2D operation only
asymmetric kernels, any shape
CUDA / GPU

If you find this implementation useful please give it a star. Open issues for bugs/ideas.

If you are planning to build something on top of it let me know, I am always up for some good collaborations ;)

Owner

Istvan Fehervari

Director, Data Science @ Loblaw Digital

GitHub Repository

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Cossim - Sharpened Cosine Distance implementation in PyTorch

Related tags

Overview

Sharpened Cosine Distance

Owner

Istvan Fehervari

The official implementation of NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation [ICLR-2021]. https://arxiv.org/pdf/2101.12378.pdf

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Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxiang Wang, Han Zhao, Bo Li.

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