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Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention
[article]
2019
arXiv
pre-print
This paper presents a new approach to recognize elements in floor plan layouts. Besides walls and rooms, we aim to recognize diverse floor plan elements, such as doors, windows and different types of rooms, in the floor layouts. To this end, we model a hierarchy of floor plan elements and design a deep multi-task neural network with two tasks: one to learn to predict room-boundary elements, and the other to predict rooms with types. More importantly, we formulate the room-boundary-guided
arXiv:1908.11025v1
fatcat:3a5jphe4sbdghgfdkrpkzdtsru