Core Concepts
Opti-CAM combines CAM-based and masking-based approaches to optimize saliency maps for interpretability in deep neural networks.
Stats
Methods based on class activation maps (CAM) provide a mechanism to interpret predictions.
Opti-CAM combines ideas from CAM-based and masking-based approaches.
Opti-CAM largely outperforms other CAM-based approaches on several datasets.
Quotes
"Opti-CAM combines ideas from CAM-based and masking-based approaches."
"Opti-CAM optimizes saliency maps for interpretability in deep neural networks."