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Lecture Notes in Computer Science
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 fromdoi:10.1007/978-3-030-01228-1_26 fatcat:bopejhyckrfwpe7575xt2vz2je