| PRESCIENCE: A Dataset and Benchmark for Scientific Forecasting added by Syntology |
2026-02 (from id) |
LHDuan/ConDaFormer/pcr/utils/losses.py e85b5d21dc5b8382 |
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| 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 |
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| 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 |
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| PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds |
18 Mar 2025 |
TRAILab/PSA-SSL/criterions/lovasz_softmax.py e85b5d21dc5b8382 |
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MIT (permissive) |
| GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction |
13 Dec 2024 |
zuosc19/gaussianworld/utils/lovasz_losses.py e85b5d21dc5b8382 |
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| 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 |
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| Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation |
20 Aug 2024 |
Javion11/PointLiBR/openpoints/loss/lovasz_losses.py e85b5d21dc5b8382 |
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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 |
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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 |
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| Context-Guided Spatio-Temporal Video Grounding |
3 Jan 2024 |
shaohuadong2021/dplnet/RGBD/toolbox/lavaszSoftmax.py e85b5d21dc5b8382 |
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| ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding |
18 Dec 2023 |
lhduan/condaformer/pcr/utils/losses.py e85b5d21dc5b8382 |
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| Camera-based 3D Semantic Scene Completion with Sparse Guidance Network |
10 Dec 2023 |
jieqianyu/sgn/projects/mmdet3d_plugin/sgn/utils/lovasz_losses.py e85b5d21dc5b8382 |
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| Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook |
8 Dec 2023 |
yilmazkadir/segmentation_losses/losses/lovasz_softmax.py 298442385a8b12a9 |
ran
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| PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness |
4 Dec 2023 |
astra-vision/PaSCo/pasco/loss/lovasz.py e85b5d21dc5b8382 |
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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 |
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MIT (permissive) |
| Pyramid Diffusion for Fine 3D Large Scene Generation |
20 Nov 2023 |
Yuheng-SWJTU/pyramid-discrete-diffusion/utils/loss.py e85b5d21dc5b8382 |
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MIT (permissive) |
| Clustering based Point Cloud Representation Learning for 3D Analysis |
27 Jul 2023 |
fengzicai/cluster3dseg/spvnas/lovasz_losses.py e85b5d21dc5b8382 |
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MIT (permissive) |
| SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation |
6 Jun 2023 |
TencentARC/SGAT4PASS/segmentron/solver/lovasz_losses.py e85b5d21dc5b8382 |
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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 |
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MIT (permissive) |
| LinK: Linear Kernel for LiDAR-based 3D Perception |
28 Mar 2023 |
MCG-NJU/LinK/segmentation/core/lovasz_losses.py e85b5d21dc5b8382 |
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MIT (permissive) |
| Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction |
15 Feb 2023 |
wzzheng/tpvformer/utils/lovasz_losses.py e85b5d21dc5b8382 |
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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 |
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MIT (permissive) |
| Benchmarking the Robustness of LiDAR Semantic Segmentation Models |
3 Jan 2023 |
yanx27/2dpass/utils/lovasz_loss.py e85b5d21dc5b8382 |
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MIT (permissive) |
| Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data |
2 Jan 2023 |
zoomin-lee/scene-scale-diffusion/utils/loss.py e85b5d21dc5b8382 |
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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 |
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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 |
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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 |
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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 |
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BSD-2-Clause (permissive) |
| Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation |
27 Mar 2021 |
edwardzhou130/Panoptic-PolarNet/network/lovasz_losses.py e85b5d21dc5b8382 |
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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 |
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BSD-3-Clause (permissive) |
| Segmenting Transparent Objects in the Wild |
31 Mar 2020 |
xieenze/Segment_Transparent_Objects/segmentron/solver/lovasz_losses.py e85b5d21dc5b8382 |
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Apache-2.0 (permissive) |
| PanNuke Dataset Extension, Insights and Baselines |
24 Mar 2020 |
kaiseem/pointnu-net/losses/lovasz_losses.py e85b5d21dc5b8382 |
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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
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MIT (permissive) |
| CCNet: Criss-Cross Attention for Semantic Segmentation |
28 Nov 2018 |
speedinghzl/CCNet/loss/lovasz_losses.py e85b5d21dc5b8382 |
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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 |
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MIT (permissive) |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
shanglianlm0525/CvPytorch/src/models/unet.py e85b5d21dc5b8382 |
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MIT (permissive) |
| arXiv:aaai_28449 |
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cskkxjk/Vampire/src/utils/lovasz_losses.py e85b5d21dc5b8382 |
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MIT (permissive) |
| arXiv:02024 |
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wzzheng/OccWorld/loss/recon_loss.py e85b5d21dc5b8382 |
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Apache-2.0 (permissive) |