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Unified Perceptual Parsing for Scene Understanding
[article]
2018
arXiv
pre-print
Humans recognize the visual world at multiple levels: we effortlessly categorize scenes and detect objects inside, while also identifying the textures and surfaces of the objects along with their different compositional parts. In this paper, we study a new task called Unified Perceptual Parsing, which requires the machine vision systems to recognize as many visual concepts as possible from a given image. A multi-task framework called UPerNet and a training strategy are developed to learn from
arXiv:1807.10221v1
fatcat:knzcor2b3vcb3gn6clp5yh3q3a