Abstract: Human-labeled training datasets are essential for convolutional neural networks (ConvNets) in satellite image scene classification. Annotation errors are unavoidable due to the complexity of ...
Rich and accurate medical image segmentation is poised to underpin the next generation of AI-defined clinical practice by delineating critical anatomy for pre-operative planning, guiding real-time ...
Abstract: Radiation imaging vehicle inspection systems are widely employed in public security applications. However, at high inspection speeds, the resulting radiation images often become blurry and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results