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convbn

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

convbn appears in the code Syntology harvested for 26 papers, as 10 distinct code bodies found in 29 places (a place is one code body under one paper). At least one of them ran in 22 of the papers; 0 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 convbn 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 6 of the 10 distinct code bodies named convbn; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 3 of the 29 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

26 papers shown of 26, newest first; 29 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; 4 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
Simulating Dual-Pixel Images From Ray Tracing For Depth Estimation 14 Mar 2025 LinYark/Sdirt/dfdp/dddnet/dddnet.py 5062860b9b0d2850 ran MIT (permissive)
Self-Distilled Depth Refinement with Noisy Poisson Fusion 26 Sep 2024 lijia7/sddr/utils/submodule.py 4589ab426bdcfbb8 ran no licence file found · pointer only
Temporal Event Stereo via Joint Learning with Stereoscopic Flow 15 Jul 2024 mickeykang16/temporaleventstereo/models/submodule.py 15ab3c76823aef7e ran · our draft was wrong no licence file found · pointer only
MoCha-Stereo: Motif Channel Attention Network for Stereo Matching 10 Apr 2024 zyangchen/mocha-stereo/MoCha-Stereo/core/extractor.py 15ab3c76823aef7e ran · our draft was wrong MIT (permissive)
RoadBEV: Road Surface Reconstruction in Bird's Eye View 9 Apr 2024 ztsrxh/roadbev/models/submodule.py 75d891a4fc48ab7b ran MIT (permissive)
Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving 12 Mar 2024 junda24/afnet/networks/module.py 4589ab426bdcfbb8 ran MIT (permissive)
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments 14 Dec 2023 linshan-bin/occnerf/networks/_3DCNN.py 15ab3c76823aef7e ran · our draft was wrong Apache-2.0 (permissive)
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments 14 Dec 2023 linshan-bin/occnerf/networks/submodule.py 4589ab426bdcfbb8 ran Apache-2.0 (permissive)
MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection 18 Aug 2023 cskkxjk/MonoNeRD/mononerd/models/backbones_3d_mono/submodule.py 576fc9a704db460c ran MIT (permissive)
Stereo Neural Vernier Caliper 21 Mar 2022 Nicholasli1995/SNVC/snvc/models/vernier.py 621990dde69e9fb2 ran · our draft was wrong MIT (permissive)
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector 18 Aug 2021 xy-guo/LIGA-Stereo/liga/models/backbones_3d_stereo/submodule.py 576fc9a704db460c ran Apache-2.0 (permissive)
Bilateral Grid Learning for Stereo Matching Networks 19 Jun 2021 3dcvdeveloper/bgnet/models/bgnet.py 15ab3c76823aef7e ran · our draft was wrong no licence file found · pointer only
SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching 25 May 2021 hongzhidu/SRHNet/models/SHRNet.py 15ab3c76823aef7e ran · our draft was wrong MIT (permissive)
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching 9 Apr 2021 gallenszl/MSMD-Net/models/submodule.py 4589ab426bdcfbb8 ran MIT (permissive)
Deep Two-View Structure-from-Motion Revisited 1 Apr 2021 jytime/Deep-SfM-Revisited/models/DICL_shallow.py cd9d415e756ddad5 unverified MIT (permissive)
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking 21 Jul 2020 yhw-yhw/D2HC-RMVSNet/models/submodule.py ebeb960f39a49a1f unverified MIT (permissive)
DeepSFM: Structure From Motion Via Deep Bundle Adjustment 20 Dec 2019 weixk2015/DeepSFM/models/submodule.py d4bc98ec8543f74c unverified BSD-3-Clause (permissive)
Normal Assisted Stereo Depth Estimation 24 Nov 2019 udaykusupati/Normal-Assisted-Stereo/models/submodule.py 15ab3c76823aef7e ran · our draft was wrong MIT (permissive)
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume 11 Nov 2019 albert100121/360SD-Net/models/sub_ASPP.py 15ab3c76823aef7e ran · our draft was wrong MIT (permissive)
DPSNet: End-to-end Deep Plane Sweep Stereo 2 May 2019 sunghoonim/DPSNet/models/submodule.py 15ab3c76823aef7e ran · our draft was wrong MIT (permissive)
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction 24 Jul 2018 meteorshowers/StereoNet/disparity/models/stereonet_disp.py aa666386e35d54a5 unverified MIT (permissive)
Digging Into Self-Supervised Monocular Depth Estimation 4 Jun 2018 qrzyang/pseudo-stereo/models/psm_submodule.py 15ab3c76823aef7e ran · our draft was wrong Apache-2.0 (permissive)
Pyramid Stereo Matching Network 23 Mar 2018 JiaRenChang/PSMNet/models/submodule.py 15ab3c76823aef7e ran · our draft was wrong MIT (permissive)
arXiv:aaai_20056 SpadeLiu/Lac-GwcNet/networks/submodule.py 15ab3c76823aef7e ran · our draft was wrong MIT (permissive)
arXiv:Xu_Adaptive_Multi-Modal_Cross-Entropy_Loss_for_Stereo_Matching_CVPR_2024_paper xxxupeng/ADL/backbones/PSMNet/submodule.py 15ab3c76823aef7e ran · our draft was wrong MIT (permissive)
arXiv:Xu_Adaptive_Multi-Modal_Cross-Entropy_Loss_for_Stereo_Matching_CVPR_2024_paper xxxupeng/ADL/backbones/GwcNet/submodule.py 4589ab426bdcfbb8 ran MIT (permissive)
arXiv:Gan_GaussianOcc_Fully_Self-supervised_and_Efficient_3D_Occupancy_Estimation_with_Gaussian_ICCV_2025_paper GANWANSHUI/GaussianOcc/networks/_3DCNN.py 15ab3c76823aef7e ran · our draft was wrong Apache-2.0 (permissive)
arXiv:Gan_GaussianOcc_Fully_Self-supervised_and_Efficient_3D_Occupancy_Estimation_with_Gaussian_ICCV_2025_paper GANWANSHUI/GaussianOcc/networks/submodule.py 4589ab426bdcfbb8 ran Apache-2.0 (permissive)
arXiv:Bae_Multi-View_Depth_Estimation_by_Fusing_Single-View_Depth_Probability_With_Multi-View_CVPR_2022_paper baegwangbin/MaGNet/models/submodules/F_psmnet.py 15ab3c76823aef7e ran · our draft was wrong 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