This differentiates our approach from models trained either solely on thermal images or models which require a fusion of visible and thermal images at test time. In this work, we implement and analyze ...

Abstract: The fusion of red, green, blue (RGB) and thermal images has profound implications for the semantic segmentation of challenging urban scenes, such as those with poor illumination.

Recent advancement in the field of deep learning has provided promising performance for the analysis of medical images. Every year, pneumonia is the leading cause for death of various children under ...