gianlucarloni/CoCoReco
Code base for our paper "Connectivity-Inspired Network for Context-Aware Recognition" (ECCV 2024, Human-inspired Computer Vision workshop)
This project helps AI practitioners improve the accuracy and explainability of image classification models. By taking images as input, it produces more robust classifications and clearer explanations of why a model made a specific decision. It is designed for researchers and engineers working on computer vision tasks who want to integrate biologically inspired mechanisms into their neural networks.
No commits in the last 6 months.
Use this if you are an AI practitioner building image classification systems and want to enhance your model's performance and interpretability by incorporating context-aware mechanisms.
Not ideal if you are looking for a pre-trained, ready-to-deploy image classification API for general use cases without needing to understand or modify the underlying neural network architecture.
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Language
Python
License
MIT
Category
Last pushed
Sep 13, 2024
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