no code implementations • 24 Dec 2023 • Chun-Hsiao Yeh, Xudong Wang, Stella X. Yu, Charles Hill, Zackery Steck, Scott Kangas, Aaron Reite
Deep learning has had remarkable success at analyzing handheld imagery such as consumer photos due to the availability of large-scale human annotations (e. g., ImageNet).
no code implementations • 21 Nov 2022 • Utkarsh Singhal, Stella X. Yu, Zackery Steck, Scott Kangas, Aaron A. Reite
Multi-spectral imagery is invaluable for remote sensing due to different spectral signatures exhibited by materials that often appear identical in greyscale and RGB imagery.
no code implementations • 7 Aug 2019 • Aaron Reite, Scott Kangas, Zackery Steck, Steven Goley, Jonathan Von Stroh, Steven Forsyth
The need for labeled data is among the most common and well-known practical obstacles to deploying deep learning algorithms to solve real-world problems.