85 citations · 209 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
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…
What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?
David LeBauer, Max Burnette, Noah Fahlgren +3
A core objective of the TERRA-REF project was to generate an open-access reference dataset for the evaluation of sensing technologies to study plants under field conditions. The TE…