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Hierarchical Pyramid Representations for Semantic Segmentation
[article]
2021
arXiv
pre-print
Understanding the context of complex and cluttered scenes is a challenging problem for semantic segmentation. However, it is difficult to model the context without prior and additional supervision because the scene's factors, such as the scale, shape, and appearance of objects, vary considerably in these scenes. To solve this, we propose to learn the structures of objects and the hierarchy among objects because context is based on these intrinsic properties. In this study, we design novel
arXiv:2104.01792v1
fatcat:a4a7pwaydrgmnag2h4ftvkjbhm