GitHub / DepthComputation / InSpaceType_Benchmark
Dataset and benchmark for indoor monocular depth estimation with focus on indoor space types
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Stars: 13
Forks: 1
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 36.9 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago
Topics: 3d-vision, benchmark, computer-vision, cvpr, deep-neural-networks, depth-anything, depth-data, eccv, iccv, monocular-depth-estimation, neurips, vision-transformer
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