iduta/pyconv
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
This project offers an advanced method for classifying images, allowing users to accurately identify objects and scenes within photographs. It takes in digital images and outputs precise labels for their content, outperforming standard image recognition systems. This is ideal for machine learning engineers and researchers who develop and deploy computer vision models.
331 stars. No commits in the last 6 months.
Use this if you need to build or improve image recognition systems that classify images with high accuracy for general visual recognition tasks.
Not ideal if your primary goal is semantic image segmentation or parsing, as a separate repository is dedicated to those tasks.
Stars
331
Forks
53
Language
Python
License
MIT
Category
Last pushed
Dec 10, 2020
Commits (30d)
0
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