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MobileNetV2

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

MobileNetV2 appears in the code Syntology harvested for 6 papers, as 26 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 4 of the papers; 14 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 MobileNetV2 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 19 of the 26 distinct code bodies named MobileNetV2; 7 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
19ran
7unverified
14fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 26 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; 26 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 3 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
Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge added by Syntology 2026-06 (from id) lliangthomas/lavid/lavid/models/distill_models.py c7f6bd1ad2fcc73d ran fingerprinted Apache-2.0 (permissive)
Domain-Specialized Object Detection via Model-Level Mixtures of Experts added by Syntology 2026-04 (from id) KASTEL-MobilityLab/mixtures-of-experts/models/deeplab_moe.py 1727c1564edd95d3 ran fingerprinted MIT-0 (permissive)
MCD-Net: A Lightweight Deep Learning Baseline for Optical-Only Moraine Segmentation added by Syntology 2026-01 (from id) Lyra-alpha/MCD-Net/nets/deeplabv3_plus.py 8737da69b887b3fc unverified MIT (permissive)
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_v2.py 3c500f029705ef98 unverified Apache-2.0 (permissive)
Adaptive Focus for Efficient Video Recognition 7 May 2021 blackfeather-wang/AdaFocus/Experiments on ActivityNet, FCVID and Mini-Kinetics/models/gfv_net.py a0a4faf6f3826228 ran no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 yakhyo/gaze-estimation/models/mobilenet.py a9e9994d954bba16 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 KaFaiFai/MobileNet-PyTorch-Converter/model/mobile_net_v2.py 58a90005ecc73ce6 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 marload/ConvNets-TensorFlow2/models/MobileNetV2.py 2f1e17c3f9375298 ran Apache-2.0 (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 deep-learning-algorithm/LightWeightCNN/py/lib/models/mobilenet_v2/mobilenet_v2.py f9e3d193b25dc617 ran · metamorphic tier: deterministic fingerprinted Apache-2.0 (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 d-li14/mobilenetv2.pytorch/models/imagenet/mobilenetv2.py 1a45a550e15122eb ran · metamorphic tier: deterministic fingerprinted Apache-2.0 (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 xxradon/IGCV3-pytorch/MobileNetV2.py eb8e6ee65ca5e05b ran no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 yakhyo/head-pose-estimation/models/mobilenetv2.py de80b20f9d7db516 ran fingerprinted MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 duan-song/SATNet/models/MobileNetV2.py f0b3bcd1c4db2a17 ran fingerprinted no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 yakhyo/retinaface-pytorch/models/backbones/mobilenetv2.py 0a83961a1f4c2895 ran fingerprinted MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 XavierCHEN34/ClickSEG/isegm/model/modeling/mobilenet/mobilenetv2_backbone.py 8e4927d20eeba27f ran Apache-2.0 (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 aryanasadianuoit/MobileNet_V2/MobileNet-V2.py 8cdb6008f0706758 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 tonylins/pytorch-mobilenet-v2/MobileNetV2.py dffe5498c28d40f0 ran · metamorphic tier: invariant fingerprinted Apache-2.0 (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 PolinaDruzhinina/modelnet/models/mobilenetv2.py 74273a5969bc5ad0 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 wangvation/torch-mobilenet/module/mobilenet.py 5eba228538a68b19 ran licence not identified · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 jmjeon94/MobileNet-Pytorch/MobileNetV2.py ad0320cd5a636ddb ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 Mayurji/Image-Classification-PyTorch/MobileNetV2.py 9807161a393336a6 ran · metamorphic tier: invariant fingerprinted GPL-3.0 (copyleft) · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 canturan10/satellighte/satellighte/archs/mobilenetv2/module.py 20851557c2fcb3f6 unverified MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 sevakon/mobilenetv2/tensorflow/mobilenetv2.py 97e2e59ed341cea3 unverified MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 MioChiu/MobileNet_V2_TensorFlow/mobilenet.py f44ae1a347d79be8 unverified no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 yumaloop/mobilenetV2-cifar/models/mobilenet_v2.py a1c58af148b4567a unverified no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 ayoolaolafenwa/orangelib/orangelib/orangelib/net.py 48b103807df090f7 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".

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