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conv_layer

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

conv_layer appears in the code Syntology harvested for 44 papers, as 37 distinct code bodies found in 51 places (a place is one code body under one paper). At least one of them ran in 21 of the papers; 1 of the code bodies carries 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_layer 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 9 of the 37 distinct code bodies named conv_layer; 28 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
5ran · our draft was wrong
1ran · fixture could not drive it
3ran
28unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 51 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

44 papers shown of 44, newest first; 51 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; 2 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
Cost-efficient Active Learning for Referring Image Segmentation and Grounding added by Syntology 2026-08 (from id) junbum766/ALRIS/model/layers_detris.py dbfe3357dc25ca5f ran · our draft was wrong no licence file found · pointer only
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning added by Syntology 2025-10 (from id) bkjod/FedQS_/utils/afl_avg_our.py d0cd7cee4fd009dc ran · our draft was wrong no licence file found · pointer only
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation 15 Jan 2025 jiaqihuang01/detris/model/layers.py dbfe3357dc25ca5f ran · our draft was wrong MIT (permissive)
Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection 31 Oct 2024 like413/vista/VisTA/model/layers.py dbfe3357dc25ca5f ran · our draft was wrong no licence file found · pointer only
On conditional diffusion models for PDE simulations 21 Oct 2024 cambridge-mlg/pdediff/pdediff/nn/oned_unet.py 10b9e731d7229515 unverified MIT (permissive)
Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography 25 Jul 2024 CalayZhou/JDM-HDRNet/layers.py 65a1da76a11d98de ran MIT (permissive)
ReMamber: Referring Image Segmentation with Mamba Twister 26 Mar 2024 yyh-rain-song/ReMamber/model/utils.py dbfe3357dc25ca5f ran · our draft was wrong no licence file found · pointer only
VideoMamba: State Space Model for Efficient Video Understanding 11 Mar 2024 hongyuanyu/span/basicsr/archs/span_arch.py 8faca1aa2666657d ran · our draft was wrong Apache-2.0 (permissive)
Universal Segmentation at Arbitrary Granularity with Language Instruction 4 Dec 2023 workforai/UniLSeg/model/layers.py dbfe3357dc25ca5f ran · our draft was wrong MIT (permissive)
Contrastive Grouping with Transformer for Referring Image Segmentation 2 Sep 2023 toneyaya/cgformer/model/layers.py dbfe3357dc25ca5f ran · our draft was wrong MIT (permissive)
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation 8 Aug 2023 liuzhu-cv/crmef/AHDRNAS.py d3a234f32905b183 ran no licence file found · pointer only
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation 21 Jul 2023 kkakkkka/etris/model/layers.py dbfe3357dc25ca5f ran · our draft was wrong MIT (permissive)
Text Promptable Surgical Instrument Segmentation with Vision-Language Models 15 Jun 2023 franciszzj/tp-sis/model/segmenter.py dbfe3357dc25ca5f ran · our draft was wrong no licence file found · pointer only
Topology-Aware Uncertainty for Image Segmentation 9 Jun 2023 johschmidt42/PyTorch-2D-3D-UNet-Tutorial/unet.py c78cf3e9f814160b unverified MIT (permissive)
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction 1 Jan 2023 MTNeuro/MTNeuro/MTNeuro/models/unet.py 0c2e49707a01d4e4 unverified MIT (permissive)
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report 7 Nov 2022 eduardzamfir/ntire23-rtsr/demo/models/modules/_rfdn.py d3a234f32905b183 ran Apache-2.0 (permissive)
CLIP-Driven Fine-grained Text-Image Person Re-identification 19 Oct 2022 shuanglinyan/CFine/models/layers.py dbfe3357dc25ca5f ran · our draft was wrong MIT (permissive)
Pruning Adversarially Robust Neural Networks without Adversarial Examples 9 Oct 2022 neu-spiral/pwoa/source/hsicbt/model/vgg.py 4aaf1bfa9b5dd486 unverified MIT (permissive)
Residual Local Feature Network for Efficient Super-Resolution 16 May 2022 amazingren/ntire2024_esr/models/team00_RLFN.py 7f36791317bab015 unverified MIT (permissive)
Residual Local Feature Network for Efficient Super-Resolution 16 May 2022 amazingren/ntire2024_esr/models/team10_SMRN.py eb5eac18912593b2 unverified MIT (permissive)
Residual Local Feature Network for Efficient Super-Resolution 16 May 2022 amazingren/ntire2024_esr/models/team15_EMaxGMan.py b5d8262302d7214a unverified MIT (permissive)
Residual Local Feature Network for Efficient Super-Resolution 16 May 2022 amazingren/ntire2024_esr/models/team17_AdvancedSR.py 045ea2de090a2f5b unverified MIT (permissive)
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment 18 Apr 2022 algolzw/bsrt/code/real/bsrt/model/arch_util.py 12673020c3dd4547 unverified MIT (permissive)
Unifying Motion Deblurring and Frame Interpolation with Events 23 Mar 2022 XiangZ-0/EVDI/codes/Networks/EVDI.py 16831f9da0681520 ran · our draft was wrong no licence file found · pointer only
A ConvNet for the 2020s 10 Jan 2022 facebookresearch/ppuda/ppuda/deepnets1m/ops.py d124421cd6cbfc19 unverified MIT (permissive)
MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image 6 Dec 2021 SeanChenxy/HandMesh/cmr/models/network_mobrecon.py 88c9b7333f9e5e69 unverified MIT (permissive)
CRIS: CLIP-Driven Referring Image Segmentation 30 Nov 2021 DerrickWang005/CRIS.pytorch/model/layers.py dbfe3357dc25ca5f ran · our draft was wrong MIT (permissive)
Transformer for Single Image Super-Resolution 25 Aug 2021 luissen/esrt/model/block.py 377d0526c105eca0 unverified MIT (permissive)
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness 4 Jun 2021 neu-spiral/hbar/source/hbar/model/vgg.py 4aaf1bfa9b5dd486 unverified MIT (permissive)
Residual Feature Distillation Network for Lightweight Image Super-Resolution 24 Sep 2020 njulj/RFDN/block.py d3a234f32905b183 ran MIT (permissive)
Deformable Non-local Network for Video Super-Resolution 24 Sep 2019 wh1h/DNLN/src/model/HFFB.py d3a234f32905b183 ran MIT (permissive)
Mish: A Self Regularized Non-Monotonic Activation Function 23 Aug 2019 lessw2020/mish/mxresnet.py 737c7df8da0c198b unverified Apache-2.0 (permissive)
Processing Megapixel Images with Deep Attention-Sampling Models 3 May 2019 sara-nl/attention-sampling-pytorch/models/feature_model.py 70d26e5a7c6ba2cf unverified MIT (permissive)
Multi-View Stereo by Temporal Nonparametric Fusion 12 Apr 2019 AaltoML/GP-MVS/deCoder.py 872907577ebf2e18 unverified MIT (permissive)
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design 30 Jul 2018 mnicnc404/CartoonGan-tensorflow/style_transfer/cartoongan/cartoongan.py b7aa9d638640fd66 unverified Apache-2.0 (permissive)
MVDepthNet: Real-time Multiview Depth Estimation Neural Network 23 Jul 2018 HKUST-Aerial-Robotics/MVDepthNet/depthNet_model.py 7cd90960305fb98b ran · our draft was wrong GPL-3.0 (copyleft) · pointer only
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients 20 Jun 2016 Xilinx/QNN-MO-PYNQ/qnn/utils.py eb32c61d9c2ced17 unverified BSD-3-Clause (permissive)
Asynchronous Methods for Deep Reinforcement Learning 4 Feb 2016 gungui98/deeprl-a3c-ai2thor/utils/networks.py da3dae2a4156eb66 unverified MIT (permissive)
Learning Deep Features for Discriminative Localization 14 Dec 2015 Seb-Good/deep_ecg/deepecg/training/networks/layers.py 3868070230627300 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 seishinkikuchi/test/resnet.py 62a88adfcc31b10c unverified no licence file found · pointer only
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 adityabingi/DCGAN-TF2.0/dcgan.py 0f0aab0d8db9d88a ran MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 pskrunner14/face-DCGAN/model.py b8a5ddd802405148 unverified MIT (permissive)
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding 9 Nov 2015 hosshonarvar/Image-Segmentation/others_code/layers_object.py da64ac3ea0aa102b unverified MIT (permissive)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation 2 Nov 2015 nisharaichur/SegNet-Encoder-Decoder-Architecture-for-Image-Segmentation/segnet.py cab93d9ad6b469a3 unverified MIT (permissive)
You Only Look Once: Unified, Real-Time Object Detection 8 Jun 2015 chihyanghsu0805/object_detection_yolo/yolo_v3.py ddf34c500d70f342 ran · fixture could not drive it fingerprinted no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 YudeWang/UNet-Satellite-Image-Segmentation/factory.py 5dbc293a7bbdef37 unverified no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 usnistgov/small-data-cnns/src/UNet/unet_model.py e6ba7ae693c8f0e5 unverified licence not identified · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 johschmidt42/pytorch-2d-3d-unet-tutorial/unet.py c78cf3e9f814160b unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 pricebenjamin/unet-estimator/model.py bdd5682ba24a464d unverified no licence file found · pointer only
arXiv:aaai_25958 tsingqguo/bgmix/models/vgg16.py 33e943d210ee5a61 unverified MIT (permissive)
arXiv:Li_Learning_Hierarchical_Line_Buffer_for_Image_Processing_ICCV_2025_paper SonyResearch/LineBufferNet/models/linebuffernet.py bbaf44c581d4198a 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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