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cs.CV2024
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
Wenwen Li, Chia-Yu Hsu, Sizhe Wang +10
This paper assesses trending AI foundation models, especially emerging computer vision foundation models and their performance in natural landscape feature segmentation. While the…
cs.CV2023
Self-Supervised Masked Digital Elevation Models Encoding for Low-Resource Downstream Tasks
Priyam Mazumdar, Aiman Soliman, Volodymyr Kindratenko +2
The lack of quality labeled data is one of the main bottlenecks for training Deep Learning models. As the task increases in complexity, there is a higher penalty for overfitting an…