Raymond L. Chastain

According to our database, Raymond L. Chastain authored at least 2 papers between 2018 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets.

Alan B. Cannaday II, Raymond L. Chastain, James Alex Hurt, Curt H. Davis, Grant J. Scott, Andrew J. Maltenfort

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset.

Tyler W. Nivin, Grant J. Scott, James Alex Hurt, Raymond L. Chastain, Curt H. Davis

Proceedings of the 47th IEEE Applied Imagery Pattern Recognition Workshop, 2018