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lovasz_grad

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

lovasz_grad appears in the code Syntology harvested for 42 papers, as 5 distinct code bodies found in 42 places (a place is one code body under one paper). At least one of them ran in 38 of the papers; 2 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 lovasz_grad 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 2 of the 5 distinct code bodies named lovasz_grad; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
1ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
3unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 42 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

42 papers shown of 42, newest first; 42 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; 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
PRESCIENCE: A Dataset and Benchmark for Scientific Forecasting added by Syntology 2026-02 (from id) LHDuan/ConDaFormer/pcr/utils/losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted no licence file found · pointer only
Multi-Resolution Alignment for Voxel Sparsity in Camera-Based 3D Semantic Scene Completion added by Syntology 2026-02 (from id) PKU-ICST-MIPL/MRA/projects/mmdet3d_plugin/mra/utils/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted no licence file found · pointer only
Enabling Progressive Whole-slide Image Analysis with Multi-scale Pyramidal Network added by Syntology 2026-02 (from id) szc19990412/TransMIL/MyLoss/lovasz_loss.py e85b5d21dc5b8382 ran · violated contract fingerprinted no licence file found · pointer only
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds 18 Mar 2025 TRAILab/PSA-SSL/criterions/lovasz_softmax.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction 13 Dec 2024 zuosc19/gaussianworld/utils/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted no licence file found · pointer only
TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight 21 Oct 2024 blue-531/TALoS/utils/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted no licence file found · pointer only
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation 20 Aug 2024 Javion11/PointLiBR/openpoints/loss/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds 27 Mar 2024 yuan-zm/DGT-ST/network/lov_loss.py e85b5d21dc5b8382 ran · violated contract fingerprinted Apache-2.0 (permissive)
HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation 18 Mar 2024 zhangsha1024/HVDistill/downstream/criterion.py e85b5d21dc5b8382 ran · violated contract fingerprinted no licence file found · pointer only
Context-Guided Spatio-Temporal Video Grounding 3 Jan 2024 shaohuadong2021/dplnet/RGBD/toolbox/lavaszSoftmax.py e85b5d21dc5b8382 ran · violated contract fingerprinted no licence file found · pointer only
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding 18 Dec 2023 lhduan/condaformer/pcr/utils/losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted no licence file found · pointer only
Camera-based 3D Semantic Scene Completion with Sparse Guidance Network 10 Dec 2023 jieqianyu/sgn/projects/mmdet3d_plugin/sgn/utils/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted no licence file found · pointer only
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook 8 Dec 2023 yilmazkadir/segmentation_losses/losses/lovasz_softmax.py 298442385a8b12a9 ran fingerprinted no licence file found · pointer only
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness 4 Dec 2023 astra-vision/PaSCo/pasco/loss/lovasz.py e85b5d21dc5b8382 ran · violated contract fingerprinted Apache-2.0 (permissive)
Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation 29 Nov 2023 IRMVLab/SFCNet/SFCNet/network/Lovasz_Softmax.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
Pyramid Diffusion for Fine 3D Large Scene Generation 20 Nov 2023 Yuheng-SWJTU/pyramid-discrete-diffusion/utils/loss.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
Clustering based Point Cloud Representation Learning for 3D Analysis 27 Jul 2023 fengzicai/cluster3dseg/spvnas/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation 6 Jun 2023 TencentARC/SGAT4PASS/segmentron/solver/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted Apache-2.0 recorded; this copy not marked cleared · pointer only
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation 22 Apr 2023 songw-zju/LiDAR2Map/map/model/loss/Lovasz_Softmax.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
LinK: Linear Kernel for LiDAR-based 3D Perception 28 Mar 2023 MCG-NJU/LinK/segmentation/core/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction 15 Feb 2023 wzzheng/tpvformer/utils/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted Apache-2.0 (permissive)
Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image 5 Feb 2023 PengfeiRen96/DIR/models/lovasz_loss.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
Benchmarking the Robustness of LiDAR Semantic Segmentation Models 3 Jan 2023 yanx27/2dpass/utils/lovasz_loss.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data 2 Jan 2023 zoomin-lee/scene-scale-diffusion/utils/loss.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation 4 Oct 2022 cv-rits/coarse3d/pc_processor/loss/lovasz_softmax.py e85b5d21dc5b8382 ran · violated contract fingerprinted Apache-2.0 (permissive)
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds 30 Jul 2022 cardwing/codes-for-pvkd/utils/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection 21 Dec 2021 happinesslz/epnetv2/lib/net/lovasz_loss.py 87e40f2872a4cfa5 unverified MIT (permissive)
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception 12 Sep 2021 xinge008/Cylinder3D/utils/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted Apache-2.0 (permissive)
Striking the Right Balance: Recall Loss for Semantic Segmentation 28 Jun 2021 PotatoTian/recall-semseg/ptsemseg/loss/lovasz_loss.py 4f9d5382c285dae8 unverified MIT (permissive)
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models 8 Jun 2021 chenfengxu714/image2point/core/criterions.py e85b5d21dc5b8382 ran · violated contract fingerprinted BSD-2-Clause (permissive)
Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation 27 Mar 2021 edwardzhou130/Panoptic-PolarNet/network/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted BSD-3-Clause (permissive)
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation 15 Oct 2020 fundamentalvision/Auto-Seg-Loss/mmseg/models/losses/lovasz_loss.py 87e40f2872a4cfa5 unverified Apache-2.0 (permissive)
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges 7 Sep 2020 QingyongHu/SQN/Lovasz_losses_tf.py 7b0ec5ddd42b3b04 unverified MIT (permissive)
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation 31 Mar 2020 Yvanali/KITTISeg/network/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted BSD-3-Clause (permissive)
Segmenting Transparent Objects in the Wild 31 Mar 2020 xieenze/Segment_Transparent_Objects/segmentron/solver/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted Apache-2.0 (permissive)
PanNuke Dataset Extension, Insights and Baselines 24 Mar 2020 kaiseem/pointnu-net/losses/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images 15 May 2019 chenwydj/ultra_high_resolution_segmentation/utils/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
CCNet: Criss-Cross Attention for Semantic Segmentation 28 Nov 2018 speedinghzl/CCNet/loss/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
UNet++: A Nested U-Net Architecture for Medical Image Segmentation 18 Jul 2018 ShawFromAttock/FYP-Medical-Image-Segmentation-using-Nested-UNet-Architecture/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 shanglianlm0525/CvPytorch/src/models/unet.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
arXiv:aaai_28449 cskkxjk/Vampire/src/utils/lovasz_losses.py e85b5d21dc5b8382 ran · violated contract fingerprinted MIT (permissive)
arXiv:02024 wzzheng/OccWorld/loss/recon_loss.py e85b5d21dc5b8382 ran · violated contract fingerprinted 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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