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conv_1x1_bn

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

conv_1x1_bn appears in the code Syntology harvested for 59 papers, as 23 distinct code bodies found in 72 places (a place is one code body under one paper). At least one of them ran in 54 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 conv_1x1_bn 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 11 of the 23 distinct code bodies named conv_1x1_bn; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
8ran · our draft was wrong
0ran · fixture could not drive it
3ran
12unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 72 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

59 papers shown of 59, newest first; 72 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; 9 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
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? added by Syntology 2026-06 (from id) lin-zhao-resoLve/D3HR/validation/models/mobilenet_v2.py a0131fb70c267a9e ran · our draft was wrong no licence file found · pointer only
EndoCaver: Handling Fog, Blur and Glare in Endoscopic Images via Joint Deblurring-Segmentation added by Syntology 2026-01 (from id) ReaganWu/EndoCaver/endocaver/model.py 905aac0dbd683010 ran · our draft was wrong MIT (permissive)
arXiv:2507.06482 2025-07 (from id) hwang52/FedDifRC/model/mobilenetv2.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
arXiv:2507.06482 2025-07 (from id) hwang52/FedDifRC/model/mobilenetv3.py 4e90491a30c2dc28 ran · our draft was wrong Apache-2.0 (permissive)
ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting 10 Jul 2024 ikeyang/vitime/model/mobilenetv2.py e59ffdb9614460c4 ran no licence file found · pointer only
Reprogramming Distillation for Medical Foundation Models 9 Jul 2024 MediaBrain-SJTU/RD/network/mobilenet_v2.py ea8083eb90046a26 ran no licence file found · pointer only
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models 27 May 2024 VITA-Group/DeblurGANv2/models/mobilenet_v2.py a0131fb70c267a9e ran · our draft was wrong no licence file found · pointer only
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch 21 Mar 2024 xidongwu/autotrainonce/imgnet_models/mobilenetv2_custom.py a0131fb70c267a9e ran · our draft was wrong no licence file found · pointer only
Knowledge Distillation Based on Transformed Teacher Matching 17 Feb 2024 zkxufo/TTM/models/mobilenetv2.py 7765583b9e540679 ran MIT (permissive)
I-SplitEE: Image classification in Split Computing DNNs with Early Exits 19 Jan 2024 Div290/I-SplitEE/b_mobilenet.py a0131fb70c267a9e ran · our draft was wrong no licence file found · pointer only
SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers 7 Nov 2023 xyonglu/sbcformer/models/mobilenetv2.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective 21 Mar 2023 bytedance/mrecg/models/mobilenet_v2.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning 13 Mar 2023 megvii-research/us3l-cvpr2023/models/mobilenetv2.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
Curriculum Temperature for Knowledge Distillation 29 Nov 2022 zhengli97/ctkd/models/mobilenetv2.py 7765583b9e540679 ran Apache-2.0 (permissive)
Switchable Online Knowledge Distillation 12 Sep 2022 hfutqian/SwitOKD/SwitOKD_code/CIFAR-100/WRN16-2_0.5mobilenetv2/models/mobilenetv2.py 7765583b9e540679 ran Apache-2.0 (permissive)
Knowledge Distillation Meets Open-Set Semi-Supervised Learning 13 May 2022 jingyang2017/srd_ossl/models/mobilenetv2.py 7765583b9e540679 ran MIT (permissive)
Class-Incremental Learning for Action Recognition in Videos 25 Mar 2022 mit-han-lab/temporal-shift-module/archs/mobilenet_v2.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability 10 Mar 2022 CVMI-Lab/KDEP/src/mobilenet.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision 14 Dec 2021 4m4n5/CLIP-Lite/model_zoo/mobilenetv2.py 7765583b9e540679 ran MIT (permissive)
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization 18 Oct 2021 kentaroy47/vision-transformers-cifar10/models/mobilevit.py 3fb34464dacbb0d3 ran · our draft was wrong MIT (permissive)
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer 5 Oct 2021 identical code first harvested elsewhere a0131fb70c267a9e ran · our draft was wrong licence of this copy not recorded
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer 5 Oct 2021 chinhsuanwu/mobilevit-pytorch/mobilevit.py 3fb34464dacbb0d3 ran · our draft was wrong MIT (permissive)
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer 5 Oct 2021 kornia/kornia/kornia/models/vit_mobile.py 564f22f3b28db627 ran · our draft was wrong Apache-2.0 (permissive)
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer 5 Oct 2021 chinhsuanwu/mobilevit-pytorch/mobilevit.py 248f0c82db73b84d unverified MIT (permissive)
Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation 15 Jun 2021 codestar12/pruning-distilation-bias/models/mobilenetv2.py 7765583b9e540679 ran BSD-2-Clause (permissive)
Zero-Cost Operation Scoring in Differentiable Architecture Search 12 Jun 2021 zerocostptnas/zerocost_operation_score/mobilenet_search_space/retrain_architecture/model.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
BERT Learns to Teach: Knowledge Distillation with Meta Learning 8 Jun 2021 JetRunner/MetaDistil/cv/models/mobilenetv2.py 7765583b9e540679 ran MIT (permissive)
CT-Net: Channel Tensorization Network for Video Classification 3 Jun 2021 Andy1621/CT-Net/ops/reshape_block.py c455a6669e2554a5 ran · our draft was wrong MIT (permissive)
EfficientNetV2: Smaller Models and Faster Training 1 Apr 2021 d-li14/efficientnetv2.pytorch/effnetv2.py 15be99ad0bcca709 unverified MIT (permissive)
Differential Viewpoints for Ground Terrain Material Recognition 22 Sep 2020 jiaxue1993/pytorch-material-classification/model/mobilenet_v2.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
Towards Fast, Accurate and Stable 3D Dense Face Alignment 21 Sep 2020 cleardusk/3DDFA_V2/models/mobilenet_v3.py db82a4013a44fb42 ran · our draft was wrong MIT (permissive)
Rethinking Bottleneck Structure for Efficient Mobile Network Design 5 Jul 2020 zhoudaquan/rethinking_bottleneck_design/mobile_deployment/pytorch/InvBlock/models/imagenet/i2rnet.py a0131fb70c267a9e ran · our draft was wrong licence not identified · pointer only
Rethinking Bottleneck Structure for Efficient Mobile Network Design 5 Jul 2020 Andrew-Qibin/ssdlite-pytorch/ssd/modeling/backbone/mobilenext.py 778b1206838f15e8 unverified MIT (permissive)
Angle-based Search Space Shrinking for Neural Architecture Search 28 Apr 2020 megvii-model/AngleNAS/FairNAS/searching/super_model.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
Unified Image and Video Saliency Modeling 11 Mar 2020 rdroste/unisal/unisal/models/MobileNetV2.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild 8 Mar 2020 jhb86253817/PIPNet/lib/mobilenetv3.py 4e90491a30c2dc28 ran · our draft was wrong MIT (permissive)
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference 3 Jan 2020 mit-han-lab/haq-release/models/mobilenetv3.py db82a4013a44fb42 ran · our draft was wrong MIT (permissive)
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference 3 Jan 2020 mit-han-lab/haq-release/models/mobilenetv2.py bc660f7845db5634 unverified MIT (permissive)
ZeroQ: A Novel Zero Shot Quantization Framework 1 Jan 2020 jakc4103/DFQ/modeling/classification/MobileNetV2.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
GhostNet: More Features from Cheap Operations 27 Nov 2019 ozora-ogino/efficient_backbones/efficient_backbones/efficientnet_v2.py f76badd0c6766f8a unverified MIT (permissive)
Neural Network Pruning with Residual-Connections and Limited-Data 19 Nov 2019 Roll920/CURL/ImageNet/CURL/1_evaluate_filter_importance/mobilenetv2.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
SeesawFaceNets: sparse and robust face verification model for mobile platform 24 Aug 2019 cvtower/SeesawNet_pytorch/code/models/imagenet/seesaw.py 0db9f814cdec6488 ran · our draft was wrong no licence file found · pointer only
SqueezeNAS: Fast neural architecture search for faster semantic segmentation 5 Aug 2019 ashaw596/squeezenas/arch/utils.py 2e73e8e10fb7ce2e unverified MIT (permissive)
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse 15 Jun 2019 clovaai/EXTD_Pytorch/mobileFacenet_32_PReLU.py 20c32d5668430dcd unverified MIT (permissive)
Searching for MobileNetV3 6 May 2019 wang-zidu/3ddfa-v3/model/mb_v3_networks.py 4e90491a30c2dc28 ran · our draft was wrong MIT (permissive)
Searching for MobileNetV3 6 May 2019 chris-boson/fashion_mnist/trainer/models/mobilenetv3.py db82a4013a44fb42 ran · our draft was wrong no licence file found · pointer only
Towards Efficient Model Compression via Learned Global Ranking 28 Apr 2019 cmu-enyac/LeGR/model/MobileNetV2.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression 16 Apr 2019 affromero/SMILE/metrics/mobilenetv2.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks 31 Dec 2018 STVIR/pysot/pysot/models/backbone/mobile_v2.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields 18 Dec 2018 identical code first harvested elsewhere a0131fb70c267a9e ran · our draft was wrong licence of this copy not recorded
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware 2 Dec 2018 ZTao-z/ProxylessNAS/training/net224x224/mobilenetv2.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware 2 Dec 2018 mit-han-lab/haq/models/mobilenetv3.py db82a4013a44fb42 ran · our draft was wrong MIT (permissive)
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware 2 Dec 2018 mit-han-lab/haq/models/mobilenetv2.py bc660f7845db5634 unverified MIT (permissive)
TSM: Temporal Shift Module for Efficient Video Understanding 20 Nov 2018 sunutf/TSM/online_demo/mobilenet_v2_tsm.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
Unified Perceptual Parsing for Scene Understanding 26 Jul 2018 SonpKing/semantic-segmentation-pytorch/models/shufflenetv2.py 7765583b9e540679 ran MIT (permissive)
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks 1 Jun 2018 identical code first harvested elsewhere 0db9f814cdec6488 ran · our draft was wrong licence of this copy not recorded
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 identical code first harvested elsewhere 0db9f814cdec6488 ran · our draft was wrong licence of this copy not recorded
Simple Online and Realtime Tracking with a Deep Association Metric 21 Mar 2017 levan92/deep_sort_realtime/deep_sort_realtime/embedder/mobilenetv2_bottle.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
SSD: Single Shot MultiBox Detector 8 Dec 2015 lufficc/SSD/ssd/modeling/backbone/mobilenetv3.py 4e90491a30c2dc28 ran · our draft was wrong MIT (permissive)
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 altndrr/persona/src/models/mobilenet.py db82a4013a44fb42 ran · our draft was wrong MIT (permissive)
arXiv:ijcai2022_0190 OverEuro/deep-head-pose-lite/hopenetlite_v2.py 7765583b9e540679 ran Apache-2.0 (permissive)
arXiv:ijcai2022_0132 woshidandan/TANet/code/AVA/train_nni.py c9d11a5f9d03ed48 unverified Apache-2.0 (permissive)
arXiv:aaai_6622 ouc-ocean-group/LDPS/lib/backbone/mobile_net.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
arXiv:aaai_20232 zhanxinrui/HDN/hdn/models/backbone/mobile_v2.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
arXiv:aaai_16351 taoxvzi/DPFPS/models/mobilenetv2.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
arXiv:Wang_3D_Face_Reconstruction_with_the_Geometric_Guidance_of_Facial_Part_CVPR_2024_paper wang-zidu/3DDFA-V3/model/mb_v3_networks.py 4e90491a30c2dc28 ran · our draft was wrong MIT (permissive)
arXiv:Cai_IIEU_Rethinking_Neural_Feature_Activation_from_Decision-Making_ICCV_2023_paper SudongCAI/IIEU/MODELS/raw_mobilenetv2_0dot17.py a0131fb70c267a9e ran · our draft was wrong Apache-2.0 (permissive)
arXiv:Cai_IIEU_Rethinking_Neural_Feature_Activation_from_Decision-Making_ICCV_2023_paper SudongCAI/IIEU/MODELS/gelu_mobilenetv2_0dot17.py cbdb98dab99b0dd4 unverified Apache-2.0 (permissive)
arXiv:Cai_IIEU_Rethinking_Neural_Feature_Activation_from_Decision-Making_ICCV_2023_paper SudongCAI/IIEU/MODELS/iieub_mobilenetv2_0dot17.py d78333f34779d332 unverified Apache-2.0 (permissive)
arXiv:Cai_IIEU_Rethinking_Neural_Feature_Activation_from_Decision-Making_ICCV_2023_paper SudongCAI/IIEU/MODELS/mish_mobilenetv2_0dot17.py 93e2c1d1c0920215 unverified Apache-2.0 (permissive)
arXiv:2023.acl-long.803 Shwai-He/PAD-Net/dyconv/model/mobilenetv2_dcd_pad.py a0131fb70c267a9e ran · our draft was wrong MIT (permissive)
arXiv:2023.acl-long.803 Shwai-He/PAD-Net/dyconv/model/mobilenetv2_dyconv_pad.py 25a027c38cff5603 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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