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set_bn_momentum_default

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

set_bn_momentum_default appears in the code Syntology harvested for 17 papers, as 1 distinct code body found in 17 places (a place is one code body under one paper). At least one of them ran in 0 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 set_bn_momentum_default 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 0 of the 1 distinct code body named set_bn_momentum_default; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 17 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

17 papers shown of 17, newest first; 17 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. 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
REVNET: Rotation-Equivariant Point Cloud Completion via Vector Neuron Anchor Transformer added by Syntology 2026-01 (from id) nizhf/REVNET/loss/schedulers.py 0ad12b1e8408e2f9 unverified MIT (permissive)
Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance added by Syntology 2025-08 (from id) AIASLab/CFG-ICCV2025/Model/PointNetPP_ssg.py 0ad12b1e8408e2f9 unverified MIT (permissive)
State Space Model Meets Transformer: A New Paradigm for 3D Object Detection 18 Mar 2025 OpenSpaceAI/DEST3D/pointnet2/pytorch_utils.py 0ad12b1e8408e2f9 unverified MIT (permissive)
3D-GRES: Generalized 3D Referring Expression Segmentation 30 Jul 2024 sosppxo/MDIN/pointnet2/pytorch_utils.py 0ad12b1e8408e2f9 unverified no licence file found · pointer only
An Economic Framework for 6-DoF Grasp Detection 11 Jul 2024 iSEE-Laboratory/EconomicGrasp/libs/pointnet2/pytorch_utils.py 0ad12b1e8408e2f9 unverified MIT (permissive)
Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding 11 Apr 2024 ziyuguo99/viewrefer3d/referit3d/external_tools/pointnet2/pytorch_utils.py 0ad12b1e8408e2f9 unverified no licence file found · pointer only
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data 28 Oct 2023 atr-dbi/cityrefer/lib/scheduler_helper.py 0ad12b1e8408e2f9 unverified MIT (permissive)
A Unified Framework for 3D Point Cloud Visual Grounding 23 Aug 2023 leon1207/3dreftr/pointnet2/pytorch_utils.py 0ad12b1e8408e2f9 unverified no licence file found · pointer only
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations 19 Aug 2023 jiehonglin/vi-net/lib/pointnet2/pytorch_utils.py 0ad12b1e8408e2f9 unverified MIT (permissive)
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos 18 Aug 2023 johnsonsign/mast-pre/modules/pytorch_utils.py 0ad12b1e8408e2f9 unverified MIT (permissive)
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution 1 Mar 2023 VinAIResearch/ISBNet/isbnet/model/module_utils.py 0ad12b1e8408e2f9 unverified BSD-3-Clause (permissive)
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation 21 Apr 2022 huixiancheng/PCB-RandNet/network/pytorch_utils.py 0ad12b1e8408e2f9 unverified MIT (permissive)
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks 15 Feb 2022 WoodwindHu/GSDA/Model/PointNetPP_ssg.py 0ad12b1e8408e2f9 unverified MIT (permissive)
Dense-Resolution Network for Point Cloud Classification and Segmentation 14 May 2020 ShiQiu0419/DRNet/train_partseg_gpus.py 0ad12b1e8408e2f9 unverified MIT (permissive)
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection 12 Apr 2020 NUAAXQ/MLCVNet/pointnet2/pytorch_utils.py 0ad12b1e8408e2f9 unverified MIT (permissive)
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds 25 Nov 2019 tsunghan-mama/RandLA-Net-pytorch/network/pytorch_utils.py 0ad12b1e8408e2f9 unverified MIT (permissive)
Deep Hough Voting for 3D Object Detection in Point Clouds 21 Apr 2019 LONG-9621/VoteNet/pointnet2/pytorch_utils.py 0ad12b1e8408e2f9 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".

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