ExplainSeg obtains segmentation masks from classification-only training by converting integrated-gradient heatmaps of a fine-tuned DINO model into masks via NCut or morphology and DenseCRF.
Unsuper- vised object localization: Observing the background to discover objects,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
No Masks Needed: Explainable AI for Deriving Segmentation from Classification
ExplainSeg obtains segmentation masks from classification-only training by converting integrated-gradient heatmaps of a fine-tuned DINO model into masks via NCut or morphology and DenseCRF.