Home › Code › compute_errors

compute_errors

Syntologyentry name in harvested coderead from the graph 2026-09-24

compute_errors appears in the code Syntology harvested for 41 papers, as 21 distinct code bodies found in 49 places (a place is one code body under one paper). At least one of them ran in 32 of the papers; 8 of the code bodies carry 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 compute_errors 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 12 of the 21 distinct code bodies named compute_errors; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

4ran · honoured contract
2ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
4ran
9unverified
8fingerprinted

Licence is a property of each copy, so it is counted per place: 21 of the 49 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

41 papers shown of 41, newest first; 49 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, and the graph's for 1 papers added by Syntology; 3 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.

PaperDateFileStatus SyntologyLicence
DenVisCoM: Dense Vision Correspondence Mamba for Efficient and Real-time Optical Flow and Stereo Estimation added by Syntology 2026-02 (from id) vimstereo/DenVisCoM/loss/depth_loss.py edd4f86e8f02732f ran · honoured contract fingerprinted no licence file found · pointer only
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 a141556f0b9d8a06 ran 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 71a2780a460fb55e ran · violated contract fingerprinted MIT (permissive)
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks 9 Jun 2024 Bob-cheng/DepthModelHardening/DepthNetworks/depth-hints/evaluate_depth_old.py edd4f86e8f02732f ran · honoured contract fingerprinted MIT (permissive)
SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation 18 Apr 2024 Lavreniuk/SPIdepth/evaluate_depth_config.py edd4f86e8f02732f ran · honoured contract fingerprinted MIT (permissive)
SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation 18 Apr 2024 Lavreniuk/SPIdepth/finetune/evaluate_metric_depth.py acb6c7be50a85a77 ran · our draft was wrong fingerprinted MIT (permissive)
Digging into contrastive learning for robust depth estimation with diffusion models 15 Apr 2024 identical code first harvested elsewhere edd4f86e8f02732f ran · honoured contract fingerprinted licence of this copy not recorded
WorDepth: Variational Language Prior for Monocular Depth Estimation 4 Apr 2024 adonis-galaxy/wordepth/src/utils.py e87fd998291bd040 ran no licence file found · pointer only
Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving 12 Mar 2024 junda24/afnet/hybrid_evaluate_depth.py 9474d17a32751f12 ran MIT (permissive)
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments 14 Dec 2023 linshan-bin/occnerf/utils/loss_metric.py edd4f86e8f02732f ran · honoured contract fingerprinted Apache-2.0 (permissive)
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions 23 Oct 2023 cleinc/bts/pytorch/bts_eval.py 0a6b6b2f73096252 ran · honoured contract fingerprinted GPL-3.0 (copyleft) · pointer only
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions 23 Oct 2023 SenZHANG-GitHub/ekf-imu-depth/evaluate_depth.py edd4f86e8f02732f ran · honoured contract fingerprinted no licence file found · pointer only
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions 23 Oct 2023 shariqfarooq123/AdaBins/evaluate.py acb6c7be50a85a77 ran · our draft was wrong fingerprinted GPL-3.0 (copyleft) · pointer only
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions 23 Oct 2023 cleinc/bts/pytorch/bts_main.py 6e581177649538a3 unverified GPL-3.0 (copyleft) · pointer only
WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions 9 Oct 2023 wangjiyuan9/weatherdepth/Evaluate.py abe204f0964ab8f0 unverified MIT (permissive)
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes 26 Sep 2023 zxcqlf/GasMono/evaluate_nyu.py edd4f86e8f02732f ran · honoured contract 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 e2188805a6ab6f90 ran fingerprinted MIT (permissive)
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks 31 Jan 2023 identical code first harvested elsewhere 71a2780a460fb55e ran · violated contract 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 edd4f86e8f02732f ran · honoured contract 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 edd4f86e8f02732f ran · honoured contract 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 edd4f86e8f02732f ran · honoured contract fingerprinted MIT (permissive)
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion 10 Jul 2022 ashutosh1807/depthformer/evaluate.py acb6c7be50a85a77 ran · our draft was wrong fingerprinted no licence file found · pointer only
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors 27 Jun 2022 jiepengwang/NeuRIS/evaluation/EvalScanNet.py edd4f86e8f02732f ran · honoured contract fingerprinted MIT (permissive)
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation 7 Apr 2022 weiyithu/surrounddepth/utils.py edd4f86e8f02732f ran · honoured contract fingerprinted MIT (permissive)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth 19 Jan 2022 ravinewindteer/glpdepth-edited/code/eval_with_pngs.py 0a6b6b2f73096252 ran · honoured contract fingerprinted MIT (permissive)
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation 24 Dec 2021 identical code first harvested elsewhere edd4f86e8f02732f ran · honoured contract fingerprinted licence of this copy not recorded
GMFlow: Learning Optical Flow via Global Matching 26 Nov 2021 raymondwang987/nvds/infer_NVDS_dpt_bi.py b6528bfa48fa18a0 unverified MIT (permissive)
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR 20 Sep 2021 AutoAILab/FusionDepth/evaluate_depth.py edd4f86e8f02732f ran · honoured contract fingerprinted MIT (permissive)
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR 20 Sep 2021 AutoAILab/FusionDepth/evaluate_completion.py 8e520332ac6e2b25 unverified MIT (permissive)
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation 14 Dec 2020 shawLyu/HR-Depth/evaluate_depth.py 37991806ee36437b ran · honoured contract fingerprinted MIT (permissive)
P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation 15 Jul 2020 svip-lab/Indoor-SfMLearner/evaluation/nyuv2_eval_depth.py 7ba7f39d216dbe7d ran · violated contract 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 edd4f86e8f02732f ran · honoured contract 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 d99155909a53a36e 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 edd4f86e8f02732f ran · honoured contract fingerprinted licence of this copy not recorded
Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency 19 Sep 2019 hlzz/DeepMatchVO/kitti_eval/depth_evaluation_utils.py d83582de454a0b40 unverified MIT (permissive)
Self-Supervised Monocular Depth Hints 19 Sep 2019 nianticlabs/depth-hints/evaluate_depth.py edd4f86e8f02732f ran · honoured contract fingerprinted licence not identified · pointer only
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation 24 Jul 2019 cogaplex-bts/bts/pytorch/bts_eval.py 0a6b6b2f73096252 ran · honoured contract fingerprinted GPL-3.0 (copyleft) · pointer only
Safe Policy Improvement with Soft Baseline Bootstrapping 11 Jul 2019 identical code first harvested elsewhere 53b69da5f89a51b4 ran · our draft was wrong licence of this copy not recorded
Multi-View Stereo by Temporal Nonparametric Fusion 12 Apr 2019 AaltoML/GP-MVS/loss_functions.py 4e66b85c3e75a7c1 unverified MIT (permissive)
Learning to Augment Synthetic Images for Sim2Real Policy Transfer 18 Mar 2019 rstrudel/rlbc/bc/eval_reg.py 7b22754787169ceb unverified MIT (permissive)
Digging Into Self-Supervised Monocular Depth Estimation 4 Jun 2018 CaptainEven/MonoDepthV2/evaluate_depth.py d4eb240de6e155d3 ran · honoured contract fingerprinted licence not identified · pointer only
Digging Into Self-Supervised Monocular Depth Estimation 4 Jun 2018 IcarusWizard/monodepth2-paddle/evaluate_depth.py edd4f86e8f02732f ran · honoured contract fingerprinted Apache-2.0 (permissive)
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose 6 Mar 2018 yzcjtr/GeoNet/kitti_eval/depth_evaluation_utils.py d83582de454a0b40 unverified MIT (permissive)
Safe Policy Improvement with Baseline Bootstrapping 19 Dec 2017 RomainLaroche/SPIBB/spibb.py 53b69da5f89a51b4 ran · our draft was wrong MIT (permissive)
Unsupervised Monocular Depth Estimation with Left-Right Consistency 13 Sep 2016 IcarusWizard/monodepth-paddle/eval/evaluation_utils.py d83582de454a0b40 unverified Apache-2.0 (permissive)
arXiv:aaai_28383 hisfog/SfMNeXt-Impl/evaluate_depth_config.py edd4f86e8f02732f ran · honoured contract fingerprinted MIT (permissive)
arXiv:aaai_28383 hisfog/SfMNeXt-Impl/finetune/evaluate_metric_depth.py acb6c7be50a85a77 ran · our draft was wrong fingerprinted MIT (permissive)
arXiv:Gan_GaussianOcc_Fully_Self-supervised_and_Efficient_3D_Occupancy_Estimation_with_Gaussian_ICCV_2025_paper GANWANSHUI/GaussianOcc/utils/loss_metric.py edd4f86e8f02732f ran · honoured contract fingerprinted Apache-2.0 (permissive)
arXiv:136780474 dengyecode/hourglassattention/util/evaluation.py 9223b397ffc8582a unverified 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