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predict_flow

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

predict_flow appears in the code Syntology harvested for 23 papers, as 11 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 11 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 predict_flow 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 1 of the 11 distinct code bodies named predict_flow; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
0ran
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 24 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; 24 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 1 papers added by Syntology; 1 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
MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding added by Syntology 2025-10 (from id) NYCU-MAPL/MHLVC/PWCNet.py ad04e67a2b8b753f unverified no licence file found · pointer only
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose 18 May 2023 Gorilla-Lab-SCUT/MAST/MAST/models/flownet.py 105d32c87eefda24 unverified MIT (permissive)
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments 17 Sep 2022 geniussh/dytanvo/Network/PWC/PWCNet.py c3f23a008d953af5 ran · our draft was wrong BSD-3-Clause (permissive)
Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration 24 May 2022 wdhudiekou/UMF-CMGR/models/layers.py 75c45fb34214099b unverified MIT (permissive)
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation 10 Sep 2021 ruizhao26/ste-flownet/models/util.py b13af5fe4354bf55 unverified MIT (permissive)
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation 15 Aug 2021 JunHeum/ABME/model/ABMNet.py c3f23a008d953af5 ran · our draft was wrong MIT (permissive)
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation 15 Aug 2021 JunHeum/ABME/model/SBMNet.py e6b2dcf3f6482a63 unverified MIT (permissive)
Deep Two-View Structure-from-Motion Revisited 1 Apr 2021 jytime/Deep-SfM-Revisited/models/DICL_shallow.py c3f23a008d953af5 ran · our draft was wrong MIT (permissive)
TartanVO: A Generalizable Learning-based VO 31 Oct 2020 castacks/tartanvo/Network/PWC/PWCNet.py c3f23a008d953af5 ran · our draft was wrong BSD-3-Clause (permissive)
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network 16 Sep 2020 identical code first harvested elsewhere c3f23a008d953af5 ran · our draft was wrong licence of this copy not recorded
BOP Challenge 2020 on 6D Object Localization 15 Sep 2020 azad96/cosypose-custom/cosypose/models/flownet.py 105d32c87eefda24 unverified MIT (permissive)
BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation 17 Jul 2020 JunHeum/BMBC/model/BMNet.py e6b2dcf3f6482a63 unverified MIT (permissive)
Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and Beyond 30 Apr 2020 Alison-brie/MultiPropReg/MultiModal/layers.py 06221ade5bbdb0bf unverified MIT (permissive)
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks 14 Mar 2020 chan8972/Spike-FlowNet/models/util.py 5e21d58ff74257df unverified MIT (permissive)
An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion 29 Oct 2019 xytmhy/MMF-Net-alpha-Matte-Boundary-Defocus-Model-Fusion/models/util.py e8536209d2f05601 unverified MIT (permissive)
Flow-Motion and Depth Network for Monocular Stereo and Beyond 12 Sep 2019 identical code first harvested elsewhere c3f23a008d953af5 ran · our draft was wrong licence of this copy not recorded
Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM 26 Jul 2019 Kwanss/PCLNet/models/PCLNet.py 570a91d700ee8012 unverified MIT (permissive)
Depth-Aware Video Frame Interpolation 1 Apr 2019 baowenbo/DAIN/PWCNet/PWCNet.py c3f23a008d953af5 ran · our draft was wrong MIT (permissive)
Self-Supervised Learning via Conditional Motion Propagation 27 Mar 2019 XiaohangZhan/conditional-motion-propagation/models/modules/decoder.py 1914f997d6e60a03 unverified MIT (permissive)
Neighbourhood Consensus Networks 24 Oct 2018 JiwonCocoder/-Joint-Learning-of-Feature-Extraction-and-Cost-Aggregation-for-Semantic-Matching/lib/matching_model.py c3f23a008d953af5 ran · our draft was wrong MIT (permissive)
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks 24 Oct 2018 stanford-iprl-lab/multimodal_representation/multimodal/models/base_models/layers.py 105d32c87eefda24 unverified MIT (permissive)
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation 24 Jul 2018 identical code first harvested elsewhere c3f23a008d953af5 ran · our draft was wrong licence of this copy not recorded
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume 7 Sep 2017 yanqi1811/PWC-Net/PyTorch/models/PWCNet.py c3f23a008d953af5 ran · our draft was wrong licence not identified · pointer only
arXiv:Sun_Pixel-level_Semantic_Correspondence_through_Layout-aware_Representation_Learning_and_Multi-scale_Matching_CVPR_2024_paper YXSUNMADMAX/LPMFlow/models/mod.py c3f23a008d953af5 ran · our draft was wrong Apache-2.0 (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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