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MobileNet

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

MobileNet appears in the code Syntology harvested for 6 papers, as 12 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 4 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 MobileNet 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 12 distinct code bodies named MobileNet; 6 are 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
6ran
6unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 12 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

6 papers shown of 6, newest first; 12 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. 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
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models 14 Mar 2023 keras-team/keras/keras/src/applications/mobilenet.py 621b43910a11301f unverified Apache-2.0 (permissive)
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks 9 Apr 2022 mlohaus/disparatetreatment/models/attr_classifier.py 25686bd2ea842ed8 ran fingerprinted MIT (permissive)
RetinaFace: Single-stage Dense Face Localisation in the Wild 2 May 2019 bubbliiiing/retinaface-keras/nets/mobilenet.py 897011a8b72fc39f unverified MIT (permissive)
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 luzerochen/MobileNet_pytorch/mobilenet.py 7189568b40eafada ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 lyk19940625/MyRFBNet/models/RFB_Net_mobile.py f4e54c410555f41d ran · metamorphic tier: deterministic MIT (permissive)
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 deep-learning-algorithm/LightWeightCNN/py/lib/models/mobilenet/mobilenet.py 2f65608641fc45af ran · metamorphic tier: deterministic Apache-2.0 (permissive)
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 KaFaiFai/MobileNet-PyTorch-Converter/model/mobile_net.py 52f5705b74081b33 ran fingerprinted no licence file found · pointer only
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 BillyGun27/mobilenet_model/mobilenet.py c09c47e3f1b1343a unverified Apache-2.0 (permissive)
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 Sakib1263/MobileNet-1D-2D-Tensorflow-Keras/Codes/MobileNet_2DCNN.py 306134e17b7afcd1 unverified Apache-2.0 (permissive)
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 marload/ConvNets-TensorFlow2/models/MobileNet.py 3feb913ca0fba9d5 unverified Apache-2.0 (permissive)
Feature Pyramid Networks for Object Detection 9 Dec 2016 NVIDIA/retinanet-examples/odtk/backbones/fpn.py 3090c14f8b34c8a7 ran fingerprinted BSD-3-Clause (permissive)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2 Jun 2016 leimao/DeepLab-V3/model.py 9a312354c4aac598 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