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Found 3 papers, 1 papers with code
CA-Stream: Attention-based pooling for interpretable image recognition
Explanations obtained from transformer-based architectures in the form of raw attention, can be seen as a class-agnostic saliency map.
Opti-CAM: Optimizing saliency maps for interpretability
Methods based on class activation maps (CAM) provide a simple mechanism to interpret predictions of convolutional neural networks by using linear combinations of feature maps as saliency maps.
SIMBA: Specific Identity Markers for Bone Age Assessment
With this lack of available methods as motivation, we present SIMBA: Specific Identity Markers for Bone Age Assessment.
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