GitHub / CristianoPatricio / concept-based-interpretability-VLM
Code for the paper "Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models", ISBI 2024 (Oral).
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CristianoPatricio%2Fconcept-based-interpretability-VLM
PURL: pkg:github/CristianoPatricio/concept-based-interpretability-VLM
Stars: 3
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 21.2 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: clip, concept-based-explanations, deep-learning, explainable-ai, ieee-isbi, interpretability, medical-imaging, melanoma-diagnosis, skin-lesion-classification, visual-language-models