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Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation

19 Aug 2021ICCV 2021 10arXiv:2108.08829archive 2025-07-28

Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo

Self-supervised monocular depth estimation has been widely studied, owing to its practical importance and recent promising improvements. However, most works suffer from limited supervision of photometric consistency, especially in weak texture regions and at object boundaries. To overcome this weakness, we propose novel ideas to improve self-supervised monocular depth estimation by leveraging cross-domain information, especially scene semantics. We focus on incorporating implicit semantic knowledge into geometric representation enhancement and suggest two ideas: a metric learning approach that exploits the semantics-guided local geometry to optimize intermediate depth representations and a novel feature fusion module that judiciously utilizes cross-modality between two heterogeneous feature representations. We comprehensively evaluate our methods on the KITTI dataset and demonstrate that our method outperforms state-of-the-art methods. The source code is available at https://github.com/hyBlue/FSRE-Depth.

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Code

Syntology Ran 10 of 12 code samples harvested from 2 repositories linked to this paper; 2 have no recorded run. Of those that ran: 1 ran · our draft was wrong; 1 ran · fixture could not drive it; 8 ran with no contract checked.

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hyblue/fsre-depth officialmentioned in papermentioned on GitHubpytorchMIT report
shlomi-amitai/FSRE-Depth mentioned on GitHubpytorch report

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Code Syntology ran Syntology

12 samples harvested; 10 ran; 0 honoured the contract we drafted; 2 have no recorded run. Read from Syntology's graph 2026-09-25; that is when this build read the record, not when the samples ran.

1ran · our draft was wrong
1ran · fixture could not drive it
8ran
2unverified

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DepthDecoder hyblue/fsre-depth/networks/cma.py official repository ran MIT (permissive) · 605877e9ca33b5b6 · report
MultiEmbedding hyblue/fsre-depth/networks/cma.py official repository ran fingerprinted MIT (permissive) · eb3ac7aa8e6f8185 · report
SegDecoder hyblue/fsre-depth/networks/cma.py official repository ran MIT (permissive) · 35203a6468ff5ee5 · report
CMA hyblue/fsre-depth/networks/cma.py official repository unverified MIT (permissive) · 1878784909de5c02 · report
Conv3x3 shlomi-amitai/FSRE-Depth/networks/cma.py community (archive-listed) ran · metamorphic tier: deterministic fingerprinted MIT (permissive) · c99ca4ba41bbbba6 · report
ConvBlock shlomi-amitai/FSRE-Depth/networks/cma.py community (archive-listed) ran · metamorphic tier: deterministic fingerprinted MIT (permissive) · 189be31bdecd0f56 · report
DepthDecoder shlomi-amitai/FSRE-Depth/networks/cma.py community (archive-listed) ran · metamorphic tier: deterministic MIT (permissive) · 2b22eb63b5a2b799 · report
MultiEmbedding shlomi-amitai/FSRE-Depth/networks/cma.py community (archive-listed) ran · metamorphic tier: deterministic fingerprinted MIT (permissive) · d78fdf24eabc1cd9 · report
SegDecoder shlomi-amitai/FSRE-Depth/networks/cma.py community (archive-listed) ran · metamorphic tier: deterministic MIT (permissive) · 3211a75273dc64df · report
W shlomi-amitai/FSRE-Depth/networks/cma.py community (archive-listed) ran · our draft was wrong MIT (permissive) · 1c003d771b81a5c3 · report
CMA shlomi-amitai/FSRE-Depth/networks/cma.py community (archive-listed) unverified MIT (permissive) · 92311437ccc10472 · report
upsample identical code first harvested elsewhere ran · fixture could not drive it fingerprinted licence of this copy not recorded · a739072b350093e7 · report

Tasks

Depth EstimationMetric LearningMonocular Depth Estimation

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