Recent development in fully convolutional neural network enables efficient end-to-end
learning of semantic segmentation. Traditionally, the convolutional classifiers are taught to …

We propose a post-hoc computationally lightweight method to quantify predictive uncertainty
in semantic image segmentation. Our approach uses conformal prediction to generate …

To build up a state-of-the-art semantic scene segmentation model, a balanced combination
between coarsely and finely contextual details is required for eliminating class-wise …

With the development of Fully Convolutional Neural Network (FCN), there have been
progressive advances in the field of semantic segmentation in recent years. The FCN-based …

Understanding of the contents in image and video is important in both image processing and
computer vision. Since the digital image and video contents are in the mere form of two …