A Labeling Intercomparison of Retrogressive Thaw Slumps by a Diverse Group of Domain Experts
ABSTRACT Deep‐learning (DL) models have become increasingly beneficial for the detection of retrogressive thaw slumps (RTS) in the permafrost domain. However, comparing accuracy metrics is challenging due to unstandardized labeling guidelines. To address this, we conducted an experiment with 12 inte...
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Published in | Permafrost and periglacial processes Vol. 36; no. 1; pp. 83 - 92 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Chichester
Wiley Subscription Services, Inc
01.01.2025
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Subjects | |
Online Access | Get full text |
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