kschwethelm/HyperbolicCV
ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation
This project offers an advanced way to build computer vision models that can better understand and categorize images. It takes standard image datasets as input and outputs improved image classification results and more realistic generated images. Researchers and practitioners working on image recognition, object detection, or synthetic image generation will find this valuable for developing high-performing models.
No commits in the last 6 months.
Use this if you are a machine learning researcher or engineer looking to improve the accuracy and representation capabilities of your computer vision models, especially for tasks involving hierarchical visual data.
Not ideal if you need a plug-and-play solution for general image tasks without delving into hyperbolic geometry concepts or fine-tuning model architectures.
Stars
77
Forks
8
Language
Python
License
MIT
Category
Last pushed
Feb 14, 2024
Commits (30d)
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