GitHub / DimitrisReppas / On_visual_explanation_of_supervised_and_self-supervised_learning
Visualization methods to interpret CNNs and Vision Transformers, trained in a supervised or self-supervised way. The methods are based on CAM or on the attention mechanism of Transformers. The results are evaluated qualitatively and quantitatively.
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PURL: pkg:github/DimitrisReppas/On_visual_explanation_of_supervised_and_self-supervised_learning
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 14.5 MB
Dependencies parsed at: Pending
Created at: almost 3 years ago
Updated at: about 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago
Topics: cnns, computer-vision, deep-neural-networks, explainable-ai, interpretability-and-explainability, self-supervised-learning, supervised-learning, transformers