3 papers
cs.CV2018
Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery
Marc Bosch, Gordon A. Christie, Christopher M. Gifford
Semantic segmentation is a powerful method to facilitate visual scene understanding. Each pixel is assigned a label according to a pre-defined list of object classes and semantic e…
cs.CV2018
Improved Image Segmentation via Cost Minimization of Multiple Hypotheses
Marc Bosch, Christopher M. Gifford, Austin G. Dress +3
Image segmentation is an important component of many image understanding systems. It aims to group pixels in a spatially and perceptually coherent manner. Typically, these algorith…
cs.CV2017
Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning
Marc Bosch, Christopher M. Gifford, Pedro A. Rodriguez
Recent advances in Generative Adversarial Learning allow for new modalities of image super-resolution by learning low to high resolution mappings. In this paper we present our work…