FAME generates competitive attribution maps by using gradients to drive targeted perturbations on input images rather than fixed patches, and demonstrates that CAM's locality assumption fails in deeper networks.
Mart ´ınez and Robert Benavente
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
FAME: Feature Activation Map Explanation on Image Classification and Face Recognition
FAME generates competitive attribution maps by using gradients to drive targeted perturbations on input images rather than fixed patches, and demonstrates that CAM's locality assumption fails in deeper networks.