APSAM converts image-level landslide labels into SAM box and point prompts derived from class activation maps, yielding pseudo-masks that beat prior weakly supervised methods on two landslide datasets.
Learning deep features for discriminative localization,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Auto-Prompting SAM for Weakly Supervised Landslide Extraction
APSAM converts image-level landslide labels into SAM box and point prompts derived from class activation maps, yielding pseudo-masks that beat prior weakly supervised methods on two landslide datasets.