Eric K. Davis

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 5

Top Topics

Convolutional Neural Networks

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Nathan Inkawhich, Jingyang Zhang, Eric K. Davis, Ryan Luley, Yiran Chen
Improving Out-of-Distribution Detection by Learning From the Deployment Environment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. WACV (2022)
Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. CoRR (2021)
Nathan Inkawhich, Eric K. Davis, Matthew Inkawhich, Uttam K. Majumder, Yiran Chen
Training SAR-ATR Models for Reliable Operation in Open-World Environments. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Nathan Inkawhich, Matthew Inkawhich, Eric K. Davis, Uttam K. Majumder, Erin Tripp, Chris Capraro, Yiran Chen
Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)