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ASPP

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

ASPP appears in the code Syntology harvested for 23 papers, as 27 distinct code bodies found in 27 places (a place is one code body under one paper). At least one of them ran in 17 of the papers; 12 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 ASPP 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 18 of the 27 distinct code bodies named ASPP; 9 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
1ran · fixture could not drive it
17ran
9unverified
12fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 27 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

23 papers shown of 23, newest first; 27 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 5 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
CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations added by Syntology 2026-06 (from id) Hope-Rita/CORE-MTL/models/causal_model.py f2e37553e8259ac7 ran fingerprinted no licence file found · pointer only
ODySSeI: An Open-Source End-to-End Framework for Automated Detection, Segmentation, and Severity Estimation of Lesions in Invasive Coronary Angiography Images added by Syntology 2026-03 (from id) LTS4/ODySSeI/odyssei/models/deeplabv3plus.py ec8110afe7386793 ran fingerprinted no licence file found · pointer only
SegMate: Asymmetric Attention-Based Lightweight Architecture for Efficient Multi-Organ Segmentation added by Syntology 2026-02 (from id) andreibunea99/SegMate/models/segmate_v2.py 831d792225e808bb ran fingerprinted no licence file found · pointer only
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 64b6f302e40a5c20 ran fingerprinted MIT (permissive)
HccePose(BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation added by Syntology 2025-10 (from id) WangYuLin-SEU/HCCEPose/HccePose/network_model.py 3088c20c74b2cf3b unverified LGPL-2.1 (copyleft) · pointer only
Spider: A Unified Framework for Context-dependent Concept Segmentation 2 May 2024 xiaoqi-zhao-dlut/spider-unicdseg/model/DBS_group_prompt.py 134d2a21569d49b5 ran no licence file found · pointer only
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling 26 Jul 2023 billhhh/ShaSpec/DualNet_SS.py f11a6e90cadb7f4a ran · metamorphic tier: deterministic no licence file found · pointer only
Unsupervised Homography Estimation with Coplanarity-Aware GAN 8 May 2022 megvii-research/HomoGAN/model/net.py e39f9b7a0d0e74c6 ran fingerprinted no licence file found · pointer only
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation 21 Apr 2022 chunbolang/DCP/model/DCP.py deb925d25beba09d ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Semi-supervised Semantic Segmentation with Error Localization Network 5 Apr 2022 kinux98/SSL_ELN/modeling/ELN.py 1e3e371527ddbc82 unverified MIT (permissive)
ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation 17 Mar 2022 suyz526/zebrapose/zebrapose/model/BinaryCodeNet.py 29c90a28b0276e3a ran · metamorphic tier: invariant MIT (permissive)
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction 9 Mar 2022 caiyuanhao1998/MST/real/train_code/architecture/CST.py e6b806ed01455bd5 ran fingerprinted MIT (permissive)
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection 5 Mar 2022 lartpang/ZoomNet/methods/zoomnet/zoomnet.py baaa14215b7042ce ran MIT (permissive)
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation 24 Nov 2021 addisonwang2013/evdistill/modeling/deeplab.py fced7a51f0af7316 unverified no licence file found · pointer only
RECALL: Replay-based Continual Learning in Semantic Segmentation 8 Aug 2021 LTTM/RECALL/model_resnet.py 7130868dd7f4080f unverified MIT (permissive)
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning 22 Jun 2021 clovaai/SSUL/network/modeling.py ca5a01506bf190fc ran · metamorphic tier: deterministic fingerprinted licence not identified · pointer only
VS-Net: Voting with Segmentation for Visual Localization 23 May 2021 zju3dv/VS-Net/models/vs_net.py 27065a228bad5068 unverified Apache-2.0 (permissive)
Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps 21 Apr 2021 yuk6heo/GIS-RAmap/networks/network.py 5d294ba4ebefb3b2 unverified MIT (permissive)
Triple-cooperative Video Shadow Detection 11 Mar 2021 eraserNut/ViSha/networks/TVSD.py 8b1883583f278caa ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
SwiftNet: Real-time Video Object Segmentation 9 Feb 2021 haochenheheda/SwiftNet/swiftnet.py f191e946a4d33203 ran no licence file found · pointer only
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 7 Feb 2018 ensta-u2is/deeplabv3plus-muad-pytorch/network/_deeplab.py 9a5496117125b307 ran fingerprinted MIT (permissive)
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 7 Feb 2018 SkyWa7ch3r/SceneSegmentation/deeplabv3plus.py 0f94e0514fb25366 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 7 Feb 2018 giovanniguidi/deeplabV3-PyTorch/models/deeplab.py 26047a3c90df0a36 unverified no licence file found · pointer only
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2 Jun 2016 warmspringwinds/pytorch-segmentation-detection/pytorch_segmentation_detection/models/deeplab.py 53f17388b003b9b6 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2 Jun 2016 Media-Smart/vedaseg/vedaseg/models/encoders/enhance_modules/aspp.py 8a6aac3339ee8802 unverified Apache-2.0 (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 westgate458/xb-net/XBNet.py 5361553710e76b0a ran no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 harsh-jadhav/SIIM-Pneumothorax-Case-Study2/Deployable Code/model.py e046c7deceef5aa5 unverified no licence file found · pointer only

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