Home › Code › conv_bn_relu

conv_bn_relu

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

conv_bn_relu appears in the code Syntology harvested for 20 papers, as 16 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 3 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 conv_bn_relu 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 8 of the 16 distinct code bodies named conv_bn_relu; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
4ran
8unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 6 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

20 papers shown of 20, 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, and the graph's for 2 papers added by Syntology; 2 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
SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition added by Syntology 2026-03 (from id) m-saeid/SLNet/model_slnet_t/encoder.py f8dc9daf15a32ba4 ran · our draft was wrong no licence file found · pointer only
Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond added by Syntology 2025-11 (from id) wudiqx106/LFRD2/model/common.py 6cb043ab22719b0a unverified no licence file found · pointer only
OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations 17 Jun 2024 princeton-vl/OGNI-DC/src/model/backbone.py f25ef2e9f68777d0 ran BSD-3-Clause (permissive)
Depth Prompting for Sensor-Agnostic Depth Estimation 20 May 2024 JinhwiPark/DepthPrompting/model/common.py 6cb043ab22719b0a unverified no licence file found · pointer only
Recursive Video Lane Detection 22 Aug 2023 dongkwonjin/RVLD/Modeling/OpenLane-V/PLD/code/models/model.py 7782847fa3c9b106 ran · metamorphic tier: deterministic fingerprinted Apache-2.0 (permissive)
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences 5 Jun 2023 quan-dao/practical-collab-perception/workspace/sc_conv.py 1ffa1e2df5ee99ac unverified Apache-2.0 (permissive)
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation 9 Mar 2023 duanyiqun/diffusiondepth/src/model/common.py 6cb043ab22719b0a unverified Apache-2.0 (permissive)
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression 2 Mar 2023 ByungKwanLee/Causal-Adversarial-Instruments/models/instrument_network.py fc7c03207448ef0a ran · metamorphic tier: invariant fingerprinted MIT (permissive)
Discretization Invariant Networks for Learning Maps between Neural Fields 2 Jun 2022 clintonjwang/di-net/dinet/baselines/classifier.py 0deb0609b7cd252c unverified MIT (permissive)
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality 21 Dec 2021 identical code first harvested elsewhere 18483b4d73618baa ran · our draft was wrong licence of this copy not recorded
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition 5 May 2021 DingXiaoH/RepMLP/repmlpnet.py 18483b4d73618baa ran · our draft was wrong MIT (permissive)
STMTrack: Template-free Visual Tracking with Space-time Memory Networks 1 Apr 2021 fzh0917/STMTrack/videoanalyst/model/task_model/taskmodel_impl/stmtrack_model.py f2bebbb153632753 ran fingerprinted BSD-3-Clause (permissive)
Non-Local Spatial Propagation Network for Depth Completion 20 Jul 2020 zzangjinsun/NLSPN_ECCV20/src/model/common.py 6cb043ab22719b0a unverified MIT (permissive)
Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data 21 Mar 2020 CalciferZh/minimal-hand/network.py 4d2a66359100655a unverified MIT (permissive)
Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data 21 Mar 2020 vinnik-dmitry07/minimal-hand/network.py 958f62a80012eb81 unverified MIT (permissive)
Neural Predictor for Neural Architecture Search 2 Dec 2019 itouchz/Neural-Predictor-Tensorflow/nasbench/lib/base_ops.py 1500e49c46a26813 unverified MIT (permissive)
NAS-Bench-101: Towards Reproducible Neural Architecture Search 25 Feb 2019 DaveKim3872/nasbench-hpc/nasbench/lib/base_ops.py 1500e49c46a26813 unverified Apache-2.0 (permissive)
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera 1 Jul 2018 fangchangma/self-supervised-depth-completion/model.py 131f184af3ac28d1 ran · our draft was wrong MIT (permissive)
RoomNet: End-to-End Room Layout Estimation 18 Mar 2017 LucBourrat1/RoomNet-Pytorch/module/net.py 0a2b6b4dcf009024 ran · our draft was wrong no licence file found · pointer only
arXiv:aaai_28166 ru1ven/KeypointFusion/convNeXT/resnetUnet.py ed055d3f8aa61273 unverified MIT (permissive)
arXiv:Li_ShiftwiseConv_Small_Convolutional_Kernel_with_Large_Kernel_Effect_CVPR_2025_paper lidc54/shift-wiseConv/models/SLaK.py b5a7de19374e1541 unverified MIT recorded; this copy not marked cleared · pointer only

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