Adaptive Resolution Label Aggregation (ARLA) coarsens label and prediction together at chosen subpatch size and sensitivity so evaluation metrics better reflect true model error on noisy segmentation labels.
Guidelines to compare semantic segmentation maps at different resolutions.IEEE Transactions on Geoscience and Remote Sensing, 62:1–16, 2024
1 Pith paper cite this work, alongside 3 external citations. Polarity classification is still indexing.
1
Pith paper citing it
3
external citations · external index
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Novel Method to Evaluate Models on Unreliable, Noisy and Inconsistent Labels: Adaptive Resolution Label Aggregation (ARLA)
Adaptive Resolution Label Aggregation (ARLA) coarsens label and prediction together at chosen subpatch size and sensitivity so evaluation metrics better reflect true model error on noisy segmentation labels.