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Found 2 papers, 2 papers with code
PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation
In recent years, using a deep convolutional neural network (CNN) as a feature encoder (or backbone) is the most commonly observed architectural pattern in several computer vision methods, and semantic segmentation is no exception.
The Ikshana Hypothesis of Human Scene Understanding
In this work, we address this problem from a neuroscience perspective by proposing a hypothesis named Ikshana, which is supported by several findings in neuroscience.
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