GDM-depth: Leveraging global dependency modelling for self-supervised indoor depth estimation

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Chen Lv, Chenggong Han, Jochen Lang, He Jiang, Deqiang Cheng, Jiansheng Qian

Published: 01 Jan 2024, Last Modified: 14 Jul 2025Image Vis. Comput. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Uses global dependency modelling to improve indoor depth estimation•Learnable tree filters leverages structural properties to model global dependency•Combining transformer and CNN to fuse global and local depth information•Inter-class disparities between global and local depth features are eliminated