sukrutrao/Model-Guidance
Code for the paper: Studying How to Efficiently and Effectively Guide Models with Explanations. ICCV 2023.
This project helps machine learning researchers improve the accuracy of their computer vision models, especially when the models struggle with specific image features or objects. It takes existing image datasets and pre-trained models as input and produces a refined model that makes more accurate predictions by leveraging explanation-guided fine-tuning. A computer vision researcher or ML engineer working on object detection or image classification would find this useful.
No commits in the last 6 months.
Use this if you are a computer vision researcher looking to enhance the performance and interpretability of your image classification or object detection models, particularly when specific explanations about model reasoning are available.
Not ideal if you are looking for a general-purpose, off-the-shelf image processing tool or if you do not have a background in machine learning and model training.
Stars
19
Forks
3
Language
Python
License
MIT
Last pushed
Nov 01, 2023
Commits (30d)
0
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