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Panoptic Segmentation

  • (arXiv.2020.12) MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers, [Paper]
  • (arXiv 2021.09) Panoptic SegFormer, [Paper]
  • (arXiv 2021.09) PnP-DETR: Towards Efficient Visual Analysis with Transformers, [Paper], [Code]
  • (arXiv 2021.10) An End-to-End Trainable Video Panoptic Segmentation Method using Transformers, [Paper]
  • (arXiv 2021.12) Masked-attention Mask Transformer for Universal Image Segmentation, [Paper], [Code]
  • (arXiv 2021.12) PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation, [Paper], [Code]
  • (arXiv 2022.04) Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation, [Paper], [Code]
  • (arXiv 2022.05) CONSENT: Context Sensitive Transformer for Bold Words Classification, [Paper]
  • (arXiv 2022.05) CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation, [Paper]
  • (arXiv 2022.07) k-means Mask Transformer, [Paper], [Code]
  • (arXiv 2022.07) Masked-attention Mask Transformer for Universal Image Segmentation, [Paper], [Code]
  • (arXiv 2022.07) Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic ation, [Paper], [Code]
  • (arXiv 2022.10) Time-Space Transformers for Video Panoptic Segmentation, [Paper], [Code]
  • (arXiv 2022.10) Uncertainty-aware LiDAR Panoptic Segmentation, [Paper], [Code]
  • (arXiv 2022.10) A Generalist Framework for Panoptic Segmentation of Images and Videos, [Paper]
  • (arXiv 2022.10) Pointly-Supervised Panoptic Segmentation, [Paper], [Code]
  • (arXiv 2023.03) Position-Guided Point Cloud Panoptic Segmentation Transformer, [Paper], [Code]
  • (arXiv 2023.07) Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning, [Paper]
  • (arXiv 2023.08) LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment, [Paper], [Code]
  • (arXiv 2023.08) PanoSwin: a Pano-style Swin Transformer for Panorama Understanding, [Paper]
  • (arXiv 2023.09) MASK4D: Mask Transformer for 4D Panoptic Segmentation, [Paper], [Code]
  • (arXiv 2023.10) Hierarchical Mask2Former: Panoptic Segmentation of Crops, Weeds and Leaves, [Paper], [Code]
  • (arXiv 2023.11) 4D-Former: Multimodal 4D Panoptic Segmentation, [Paper], [Code]
  • (arXiv 2023.11) MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation, [Paper], [Code]
  • (arXiv 2024.01) 3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation, [Paper]
  • (arXiv 2024.01) Scalable 3D Panoptic Segmentation With Superpoint Graph Clustering, [Paper], [Code]
  • (arXiv 2024.02) Benchmarking the Robustness of Panoptic Segmentation for Automated Driving, [Paper]
  • (arXiv 2024.03) PEM: Prototype-based Efficient MaskFormer for Image Segmentation, [Paper], [Code]
  • (arXiv 2024.03) ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning, [Paper], [Code]
  • (arXiv 2024.04) Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation, [Paper]