Enhancing Reproducibility and Replicability in Remote Sensing Deep Learning Research and Practice

Enhancing Reproducibility and Replicability in Remote Sensing Deep Learning Research and Practice

Many issues can reduce the reproducibility and replicability of deep learning (DL) research and application in remote sensing, including the complexity and customizability of architectures, variable model training and assessment processes and practice, inability to fully control random components of...

Cijeli opis

Bibliografski detalji
Glavni autori: Aaron E. Maxwell, Michelle S. Bester, Christopher A. Ramezan
Format: Članak
Jezik:English
Izdano: MDPI AG 2022-11-01
Serija:Remote Sensing
Teme:
deep learning
replicability
reproducibility
semantic segmentation
object detection
Online pristup:https://www.mdpi.com/2072-4292/14/22/5760

Internet

https://www.mdpi.com/2072-4292/14/22/5760

Slični predmeti