Raphael Pisoni auf LinkedIn: Sharpened Cosine Similarity in JAX
GitHub - zimonitrome/scs_gan: Generative Adversarial Network using Sharpened Cosine Similarity
NeurIPS 2022
Cryo-EM density maps adjustment for subtraction, consensus and sharpening - ScienceDirect
Exploring the Sharpened Cosine Similarity
Sustainability | Free Full-Text | Mineral Detection Using Sharpened VNIR and SWIR Bands of Worldview-3 Satellite Imagery
On Similarity
Daksh Mall - Vellore, Tamil Nadu, India | Professional Profile | LinkedIn
Brandon Rohrer on LinkedIn: GitHub - brohrer/sharpened_cosine_similarity_torch: A Sharpened Cosine…
Sharpening Product Management - Balandor
Sharpened Cosine Similarity: Part 2 | rpisoni.dev
Novel neural network architecture using sharpened cosine similarity for robust classification of Covid-19, pneumonia and tuberculosis diseases from X-rays - IOS Press
NeurIPS 2022
Novel neural network architecture using sharpened cosine similarity for robust classification of Covid-19, pneumonia and tuberculosis diseases from X-rays - IOS Press
The role of sharpening functions The pairwise cosine similarity matrix... | Download Scientific Diagram
Cosine similarity - Wikipedia
arXiv:2103.11886v4 [cs.CV] 19 Apr 2021
PDF] Medical imaging and computational image analysis in COVID-19 diagnosis: A review | Semantic Scholar
sharpened cosine similarity
Exploring the Sharpened Cosine Similarity
arXiv:2103.11886v4 [cs.CV] 19 Apr 2021
Applied Sciences | Free Full-Text | An Approach for the Pan Sharpening of Very High Resolution Satellite Images Using a CIELab Color Based Component Substitution Algorithm
Exploring the Sharpened Cosine Similarity
Novel neural network architecture using sharpened cosine similarity for robust classification of Covid-19, pneumonia and tuberculosis diseases from X-rays - IOS Press
Sharpened Cosine Distance as an Alternative for Convolutions | rpisoni.dev
Has anyone came across this? apparently, using a Sharpened Cosine Similarity Layer (a new alternative of ConvNets) achieves an accuracy of +99% on MNIST with just 1,398 parameters (10x - 100x less