Home › Code › batch_post_process_disparity
batch_post_process_disparity
batch_post_process_disparity appears in the code Syntology harvested for 21 papers, as 4 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 17 of the papers; 1 of the code bodies carries a behaviour fingerprint.
What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named batch_post_process_disparity do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.
Samples Syntology
Syntology ran 1 of the 4 distinct code bodies named batch_post_process_disparity; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:
Licence is a property of each copy, so it is counted per place: 12 of the 21 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.
“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.
Papers
21 papers shown of 21, newest first; 21 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.
| Paper | Date | File | Status Syntology | Licence |
|---|---|---|---|---|
| Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation | 19 Jul 2024 | liujf1226/mono-vifi/evaluate_depth.py 6e1c3c123351222b |
unverified | MIT (permissive) |
| Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks | 9 Jun 2024 | bob-cheng/depthmodelhardening/DepthNetworks/monodepth2/evaluate_depth.py a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | MIT (permissive) |
| SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation | 18 Apr 2024 | Lavreniuk/SPIdepth/evaluate_depth_config.py a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | MIT (permissive) |
| RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions | 23 Oct 2023 | SenZHANG-GitHub/ekf-imu-depth/evaluate_depth.py a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | no licence file found · pointer only |
| WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions | 9 Oct 2023 | wangjiyuan9/weatherdepth/Evaluate.py f747063ecc0936e8 |
unverified | MIT (permissive) |
| GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes | 26 Sep 2023 | zxcqlf/GasMono/evaluate_nyu.py a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | no licence file found · pointer only |
| Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation | 11 Sep 2023 | LiuJF1226/BDEdepth/evaluate_depth.py 6e1c3c123351222b |
unverified | MIT (permissive) |
| Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks | 31 Jan 2023 | identical code first harvested elsewhere a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | licence of this copy not recorded |
| Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation | 23 Nov 2022 | identical code first harvested elsewhere a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | licence of this copy not recorded |
| Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem | 2 Oct 2022 | identical code first harvested elsewhere a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | licence of this copy not recorded |
| MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer | 6 Aug 2022 | zxcqlf/monovit/evaluate_depth.py a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | MIT (permissive) |
| Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation | 24 Dec 2021 | identical code first harvested elsewhere a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | licence of this copy not recorded |
| Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR | 20 Sep 2021 | AutoAILab/FusionDepth/evaluate_completion.py a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | MIT (permissive) |
| P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation | 15 Jul 2020 | identical code first harvested elsewhere a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | licence of this copy not recorded |
| On the uncertainty of self-supervised monocular depth estimation | 13 May 2020 | mattpoggi/mono-uncertainty/generate_maps.py a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | no licence file found · pointer only |
| Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications | 12 Apr 2020 | identical code first harvested elsewhere a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | licence of this copy not recorded |
| The Edge of Depth: Explicit Constraints between Segmentation and Depth | 1 Apr 2020 | TWJianNuo/EdgeDepth-Release/evaluate_depth.py 332f9ba8efe9718b |
unverified | no licence file found · pointer only |
| Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume | 31 Mar 2020 | identical code first harvested elsewhere a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | licence of this copy not recorded |
| Self-Supervised Monocular Depth Hints | 19 Sep 2019 | identical code first harvested elsewhere a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | licence of this copy not recorded |
| Digging Into Self-Supervised Monocular Depth Estimation | 4 Jun 2018 | IcarusWizard/monodepth2-paddle/evaluate_depth.py a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | Apache-2.0 (permissive) |
| arXiv:aaai_28383 | hisfog/SfMNeXt-Impl/evaluate_depth_config.py a8814cc5c348b987 |
ran · fixture could not drive it fingerprinted | MIT (permissive) |
This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections