Abstract: We propose a novel deep learning-based anomaly detection (AD) system that combines a pixelwise classification network with conditional normalizing flow (CNF) networks by sharing feature ...
Much of our understanding of Earth's past is derived from stratigraphic records exposed in rock outcrops or recovered from drilled cores. These records span immense time intervals, from thousands to ...
Abstract: This paper presents a novel single-image object counting method based on block co-saliency density map estimation, called free-to-count everything network (F2CENet). Image block co-saliency ...
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