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<a href="https://github.com/DmitryRyumin/CVPR-2023-Papers/blob/main/sections/humans-face-body-pose-gesture-movement.md">Humans: Face, Body, Pose, Gesture, Movement</a>
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<td colspan="4" rowspan="6" align="center"><i>Will soon be added</i></td>
<td colspan="4" rowspan="5" align="center"><i>Will soon be added</i></td>
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<a href="https://github.com/DmitryRyumin/CVPR-2023-Papers/blob/main/sections/segmentation-grouping-and-shape-analysis.md">Segmentation, Grouping and Shape Analysis</a>
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## Segmentation, Grouping and Shape Analysis

![Section Papers](https://img.shields.io/badge/Section%20Papers-soon-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000)
![Section Papers](https://img.shields.io/badge/Section%20Papers-111-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-79-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-84-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-81-FF0000)

| **Title** | **Repo** | **Paper** | **Video** |
|-----------|:--------:|:---------:|:---------:|
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| MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Miles_MobileVOS_Real-Time_Video_Object_Segmentation_Contrastive_Learning_Meets_Knowledge_Distillation_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.07815-b31b1b.svg)](http://arxiv.org/abs/2303.07815) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=1ilo8SYCJww) |
| Transformer Scale Gate for Semantic Segmentation | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Shi_Transformer_Scale_Gate_for_Semantic_Segmentation_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2205.07056-b31b1b.svg)](http://arxiv.org/abs/2205.07056) | :heavy_minus_sign: |
| PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers | [![GitHub](https://img.shields.io/github/stars/XuJiacong/PIDNet?style=flat)](https://github.com/XuJiacong/PIDNet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Xu_PIDNet_A_Real-Time_Semantic_Segmentation_Network_Inspired_by_PID_Controllers_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2206.02066-b31b1b.svg)](http://arxiv.org/abs/2206.02066) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=encrBD8yLGw) |
| Side Adapter Network for Open-Vocabulary Semantic Segmentation | | | |
| Test Time Adaptation with Regularized Loss for Weakly Supervised Salient Object Detection | | | |
| Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers | | | |
| Reliability in Semantic Segmentation: Are We on the Right Track? | | | |
| Beyond mAP: Towards Better Evaluation of Instance Segmentation | | | |
| Heat Diffusion based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation | | | |
| Tree Instance Segmentation with Temporal Contour Graph | | | |
| Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars | | | |
| Omnimatte3D: Associating Objects and their Effects in Unconstrained Monocular Video | | | |
| Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation | | | |
| Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation | | | |
| Improving Robustness of Semantic Segmentation to Motion-Blur using Class-Centric Augmentation | | | |
| IFSeg: Image-Free Semantic Segmentation via Vision-Language Model | | | |
| CLIP-S<sup>4</sup>: Language-guided Self-Supervised Semantic Segmentation | | | |
| Pruning Parameterization with Bi-Level Optimization for Efficient Semantic Segmentation on the Edge | | | |
| Side Adapter Network for Open-Vocabulary Semantic Segmentation <br/> [![CVPR - Highlight](https://img.shields.io/badge/CVPR-Highlight-FFFF00)]() | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://mendelxu.github.io/SAN/) <br /> [![GitHub](https://img.shields.io/github/stars/MendelXu/SAN?style=flat)](https://github.com/MendelXu/SAN) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Xu_Side_Adapter_Network_for_Open-Vocabulary_Semantic_Segmentation_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2302.12242-b31b1b.svg)](http://arxiv.org/abs/2302.12242) | :heavy_minus_sign: |
| Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Veksler_Test_Time_Adaptation_With_Regularized_Loss_for_Weakly_Supervised_Salient_CVPR_2023_paper.pdf) | :heavy_minus_sign: |
| Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers | [![GitHub](https://img.shields.io/github/stars/ZhouHuang23/FSPNet?style=flat)](https://github.com/ZhouHuang23/FSPNet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Huang_Feature_Shrinkage_Pyramid_for_Camouflaged_Object_Detection_With_Transformers_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.14816-b31b1b.svg)](http://arxiv.org/abs/2303.14816) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=M0Ucp2OBEKM) |
| Reliability in Semantic Segmentation: Are We on the Right Track? | [![GitHub](https://img.shields.io/github/stars/naver/relis?style=flat)](https://github.com/naver/relis) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/de_Jorge_Reliability_in_Semantic_Segmentation_Are_We_on_the_Right_Track_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.11298-b31b1b.svg)](http://arxiv.org/abs/2303.11298) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=QbLv83vlNkc) |
| Beyond mAP: Towards Better Evaluation of Instance Segmentation <br/> [![CVPR - Highlight](https://img.shields.io/badge/CVPR-Highlight-FFFF00)]() | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Jena_Beyond_mAP_Towards_Better_Evaluation_of_Instance_Segmentation_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2207.01614-b31b1b.svg)](http://arxiv.org/abs/2207.01614) | :heavy_minus_sign: |
| Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Wong_Heat_Diffusion_Based_Multi-Scale_and_Geometric_Structure-Aware_Transformer_for_Mesh_CVPR_2023_paper.pdf) | :heavy_minus_sign: |
| Tree Instance Segmentation With Temporal Contour Graph | [![GitHub](https://img.shields.io/github/stars/adnan0819/Tree-Instance-Segmentation-using-Temporal-Structured-Images?style=flat)](https://github.com/adnan0819/Tree-Instance-Segmentation-using-Temporal-Structured-Images) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Firoze_Tree_Instance_Segmentation_With_Temporal_Contour_Graph_CVPR_2023_paper.pdf) | :heavy_minus_sign: |
| Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Ishtiak_Exemplar-FreeSOLO_Enhancing_Unsupervised_Instance_Segmentation_With_Exemplars_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=l5sMTrswceQ) |
| Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Suhail_Omnimatte3D_Associating_Objects_and_Their_Effects_in_Unconstrained_Monocular_Video_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=zx-h4f2RXTA) |
| Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation | [![GitHub](https://img.shields.io/github/stars/lsa1997/POP?style=flat)](https://github.com/lsa1997/POP) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Liu_Learning_Orthogonal_Prototypes_for_Generalized_Few-Shot_Semantic_Segmentation_CVPR_2023_paper.pdf) | :heavy_minus_sign: |
| Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation | [![GitHub](https://img.shields.io/github/stars/ZhenZHAO/iMAS?style=flat)](https://github.com/ZhenZHAO/iMAS) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Zhao_Instance-Specific_and_Model-Adaptive_Supervision_for_Semi-Supervised_Semantic_Segmentation_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2211.11335-b31b1b.svg)](http://arxiv.org/abs/2211.11335) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=fsCC4z1qoeU) |
| Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation | [![GitHub](https://img.shields.io/github/stars/aka-discover/CCMBA_CVPR23?style=flat)](https://github.com/aka-discover/CCMBA_CVPR23) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Aakanksha_Improving_Robustness_of_Semantic_Segmentation_to_Motion-Blur_Using_Class-Centric_Augmentation_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=haypy30_jG4) |
| IFSeg: Image-Free Semantic Segmentation via Vision-Language Model | [![GitHub](https://img.shields.io/github/stars/alinlab/ifseg?style=flat)](https://github.com/alinlab/ifseg) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Yun_IFSeg_Image-Free_Semantic_Segmentation_via_Vision-Language_Model_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.14396-b31b1b.svg)](http://arxiv.org/abs/2303.14396) | :heavy_minus_sign: |
| CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/He_CLIP-S4_Language-Guided_Self-Supervised_Semantic_Segmentation_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2305.01040-b31b1b.svg)](https://arxiv.org/abs/2305.01040) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=rx0XvzFsI10) |
| Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge|:heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Yang_Pruning_Parameterization_With_Bi-Level_Optimization_for_Efficient_Semantic_Segmentation_on_CVPR_2023_paper.pdf) | :heavy_minus_sign: |

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