% Key papers for Video semantic and panoptic segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_video_12739,
  title = {{Video Propagation Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_bilateral_11415,
  title = {{Bilateral Space Video Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_semantic_13576,
  title = {{Semantic Video Segmentation by Gated Recurrent Flow Propagation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Nilsson_Semantic_Video_Segmentation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_temporally_16331,
  title = {{Temporally Distributed Networks for Fast Video Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2016_feature_11552,
  title = {{Feature Space Optimization for Semantic Video Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{aaai2020_motion_103901,
  title = {{Motion-Attentive Transition for Zero-Shot Video Object Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/7008},
}

@inproceedings{cvpr2018_low_13347,
  title = {{Low-Latency Video Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Low-Latency_Video_Semantic_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_accel_13811,
  title = {{Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_dynamic_13047,
  title = {{Dynamic Video Segmentation Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Xu_Dynamic_Video_Segmentation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_std2p_12600,
  title = {{STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_deep_12985,
  title = {{Deep Spatio-Temporal Random Fields for Efficient Video Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Chandra_Deep_Spatio-Temporal_Random_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_video_20174,
  title = {{Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2020_every_103611,
  title = {{Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6699},
}

@inproceedings{cvpr2022_large_19162,
  title = {{Large-Scale Video Panoptic Segmentation in the Wild: A Benchmark}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_coarse_18476,
  title = {{Coarse-To-Fine Feature Mining for Video Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2017_budget_12093,
  title = {{Budget-Aware Deep Semantic Video Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2021_spatial_17925,
  title = {{Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_tarvis_22307,
  title = {{TarViS: A Unified Approach for Target-Based Video Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23012},
}

@inproceedings{cvpr2022_learning_19201,
  title = {{Learning Pixel Trajectories With Multiscale Contrastive Random Walks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_learning_17307,
  title = {{Learning To Associate Every Segment for Video Panoptic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_cooperation_23046,
  title = {{Cooperation Does Matter: Exploring Multi-Order Bilateral Relations for Audio-Visual Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31256},
}

@inproceedings{cvpr2025_matanyone_26932,
  title = {{MatAnyone: Stable Video Matting with Consistent Memory Propagation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32748},
}

@inproceedings{cvpr2024_vanishing_25201,
  title = {{Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29993},
}

@inproceedings{aaai2024_an_5179,
  title = {{An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27942},
}

@inproceedings{aaai2024_pay_6938,
  title = {{Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28211},
}

@inproceedings{cvpr2024_infer_23798,
  title = {{Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31138},
}

@inproceedings{cvpr2025_exploiting_26183,
  title = {{Exploiting Temporal State Space Sharing for Video Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34521},
}

@inproceedings{cvpr2025_high_26516,
  title = {{High Temporal Consistency through Semantic Similarity Propagation in Semi-Supervised Video Semantic Segmentation for Autonomous Flight}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35092},
}

@inproceedings{neurips2024_unleashing_73950,
  title = {{Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93562},
}

@inproceedings{aaai2024_exploring_5923,
  title = {{Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28132},
}

@inproceedings{cvpr2025_zero_28174,
  title = {{Zero-Shot 4D Lidar Panoptic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34293},
}

@inproceedings{aaai2026_vpsentry_100428,
  title = {{VPSentry: Semi-supervised Video Polyp Segmentation via Sentry-guided Long-term Prototype Fusion with Correlation Dynamic Propagation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37275},
}

@inproceedings{cvpr2025_vidseg_28078,
  title = {{VidSeg: Training-free Video Semantic Segmentation based on Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34589},
}

@inproceedings{neurips2024_end_73971,
  title = {{End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93543},
}

@inproceedings{neurips2025_flowfeat_78619,
  title = {{FlowFeat: Pixel-Dense Embedding of Motion Profiles}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=gZsmYwFHci},
}

@inproceedings{iclr2025_learning_81362,
  title = {{Learning Spatial-Semantic Features for Robust Video Object Segmentation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30411},
}

@inproceedings{iclr2026_lifr_85055,
  title = {{LiFR-Seg: Anytime High-Frame-Rate Segmentation via Event-Guided Propagation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=9oS7DHIg7f},
}

@inproceedings{cvpr2026_matanyone_96055,
  title = {{MatAnyone 2: Scaling Video Matting via a Learned Quality Evaluator}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Yang_MatAnyone_2_Scaling_Video_Matting_via_a_Learned_Quality_Evaluator_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_bootstrapping_96370,
  title = {{Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Kim_Bootstrapping_Video_Semantic_Segmentation_Model_via_Distillation-assisted_Test-Time_Adaptation_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_scene_96613,
  title = {{Scene-Centric Unsupervised Video Panoptic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Reich_Scene-Centric_Unsupervised_Video_Panoptic_Segmentation_CVPR_2026_paper.html},
}