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conv3x3x3

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

conv3x3x3 appears in the code Syntology harvested for 32 papers, as 12 distinct code bodies found in 32 places (a place is one code body under one paper). At least one of them ran in 24 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 conv3x3x3 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 7 of the 12 distinct code bodies named conv3x3x3; 5 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
1ran · fixture could not drive it
2ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 32 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

32 papers shown of 32, newest first; 32 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.

PaperDateFileStatus SyntologyLicence
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors 13 Oct 2024 luffy03/large-scale-medical/VoComni/models/MiT.py 6af4a5290ffeee0e ran Apache-2.0 (permissive)
MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer 15 May 2024 wuchengyu123/mmfusion/model/resnet.py 132caaf49db1e0aa ran no licence file found · pointer only
Creative Agents: Empowering Agents with Imagination for Creative Tasks 5 Dec 2023 pku-rl/creative-agents/BC_Controller/vox2seq/model.py c3b215555357b9d1 ran · our draft was wrong no licence file found · pointer only
Pyramid Diffusion for Fine 3D Large Scene Generation 20 Nov 2023 yuhengliu02/pyramid-discrete-diffusion/models/latent_diffusion/stage1/model.py 2af7056eabf32cae ran · our draft was wrong MIT (permissive)
MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion 18 Nov 2023 Boese0601/MagicDance/tool/metrics/resnet3d.py c3b215555357b9d1 ran · our draft was wrong no licence file found · pointer only
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks 30 Jul 2023 mshukor/unival/models/unival/encoders/resnext3d.py c3b215555357b9d1 ran · our draft was wrong Apache-2.0 (permissive)
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling 26 Jul 2023 billhhh/ShaSpec/DualNet_SS.py ab85f0066b239697 ran · fixture could not drive it no licence file found · pointer only
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data 2 Jan 2023 zoomin-lee/scene-scale-diffusion/layers/Voxel_Level/denoise.py 2af7056eabf32cae ran · our draft was wrong MIT (permissive)
Hilbert Distillation for Cross-Dimensionality Networks 8 Nov 2022 EagleMIT/Hilbert-Distillation/model/resnet.py c3b215555357b9d1 ran · our draft was wrong MIT (permissive)
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering 7 Nov 2022 thaolmk54/hcrn-videoqa/preprocess/models/pre_act_resnet.py c3b215555357b9d1 ran · our draft was wrong Apache-2.0 (permissive)
Weakly-guided Self-supervised Pretraining for Temporal Activity Detection 26 Nov 2021 kkahatapitiya/SSDet/x3d.py 553378f88d6b728a unverified MIT (permissive)
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization 4 Aug 2021 identical code first harvested elsewhere c3b215555357b9d1 ran · our draft was wrong licence of this copy not recorded
Self-supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss 16 Jul 2021 Dylan-H-Wang/SLF-RPM/models/resnet3d.py c3b215555357b9d1 ran · our draft was wrong Apache-2.0 (permissive)
Home Action Genome: Cooperative Compositional Action Understanding 11 May 2021 nishantrai18/homage/backbone/resnet_2d3d.py 87ddd63faa8e7182 unverified MIT (permissive)
Making a Case for 3D Convolutions for Object Segmentation in Videos 26 Aug 2020 sabarim/3DC-Seg/network/Resnet3d.py c3b215555357b9d1 ran · our draft was wrong MIT (permissive)
Memory-augmented Dense Predictive Coding for Video Representation Learning 3 Aug 2020 TengdaHan/MemDPC/backbone/resnet_2d3d.py 87ddd63faa8e7182 unverified Apache-2.0 (permissive)
A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition 24 Jul 2020 iliasprc/slrzoo/models/resnet3d.py c3b215555357b9d1 ran · our draft was wrong MIT (permissive)
Supervised Contrastive Learning 23 Apr 2020 davidczy/supcon_gamma/networks/ThreeDResnet.py c3b215555357b9d1 ran · our draft was wrong BSD-2-Clause (permissive)
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? 10 Apr 2020 ziqi-zhang/3D-ResNets-PyTorch/models/resnet.py c3b215555357b9d1 ran · our draft was wrong MIT (permissive)
X3D: Expanding Architectures for Efficient Video Recognition 9 Apr 2020 kkahatapitiya/X3D-Multigrid/x3d.py 624693b57e7dcd4a unverified MIT (permissive)
Atlas: End-to-End 3D Scene Reconstruction from Posed Images 23 Mar 2020 magicleap/Atlas/atlas/backbone3d.py 345667d343bb0d99 unverified Apache-2.0 (permissive)
Temporal Interlacing Network 17 Jan 2020 eynaij/X-Temporal_catdim/x_temporal/models/resnet3D.py c3b215555357b9d1 ran · our draft was wrong MIT (permissive)
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks 20 Dec 2019 joaanna/something_else/code/model/resnet3d_xl.py c3b215555357b9d1 ran · our draft was wrong MIT (permissive)
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition 11 Dec 2019 vt-vl-lab/SDN/models/pre_act_resnet.py c3b215555357b9d1 ran · our draft was wrong MIT (permissive)
A Multigrid Method for Efficiently Training Video Models 2 Dec 2019 identical code first harvested elsewhere 624693b57e7dcd4a unverified licence of this copy not recorded
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding 1 Nov 2019 metalbubble/moments_models/models.py 3972ce0a29ce2650 unverified BSD-2-Clause recorded; this copy not marked cleared · pointer only
Video Representation Learning by Dense Predictive Coding 10 Sep 2019 TengdaHan/DPC/backbone/resnet_2d3d.py 87ddd63faa8e7182 unverified MIT (permissive)
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network 4 Aug 2019 shirgur/UMIS/networks/resnet.py c3b215555357b9d1 ran · our draft was wrong Apache-2.0 (permissive)
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? 27 Nov 2017 identical code first harvested elsewhere c3b215555357b9d1 ran · our draft was wrong licence of this copy not recorded
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes 23 Nov 2017 lsqshr/AH-Net/net3d.py 5df53e1b705970c5 ran · our draft was wrong no licence file found · pointer only
Deep Residual Learning for Image Recognition 10 Dec 2015 PPPrior/i3d-pytorch/models/backbones/resnet3d.py cd1407c383321d2d ran · our draft was wrong no licence file found · pointer only
arXiv:136810551 YtongXie/UniMiSS-code/UniMiSS/models/Pacth_embeds.py 6af4a5290ffeee0e ran 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".

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