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Occlusion-Aware Seamless Segmentation

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Computer Vision – ECCV 2024 (ECCV 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15077))

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Abstract

Panoramic images can broaden the Field of View (FoV), occlusion-aware prediction can deepen the understanding of the scene, and domain adaptation can transfer across viewing domains. In this work, we introduce a novel task, Occlusion-Aware Seamless Segmentation (OASS), which simultaneously tackles all these three challenges. For benchmarking OASS, we establish a new human-annotated dataset for Blending Panoramic Amodal Seamless Segmentation, i.e., BlendPASS. Besides, we propose the first solution UnmaskFormer, aiming at unmasking the narrow FoV, occlusions, and domain gaps all at once. Specifically, UnmaskFormer includes the crucial designs of Unmasking Attention (UA) and Amodal-oriented Mix (AoMix). Our method achieves state-of-the-art performance on the BlendPASS dataset, reaching a remarkable mAPQ of \(26.58\%\) and mIoU of \(43.66\%\). On public panoramic semantic segmentation datasets, i.e., SynPASS and DensePASS, our method outperforms previous methods and obtains \(45.34\%\) and \(48.08\%\) in mIoU, respectively. The fresh BlendPASS dataset and our source code are available at https://github.com/yihong-97/OASS.

Y. Cao and J. Zhang—Equal contribution.

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Acknowledgements

This work was supported in part by the Major Research Plan of the National Natural Science Foundation of China under Grant 92148204, the National Key RD Program under Grant 2022YFB4701400, the Hunan Leading Talent of Technological Innovation under Grant 2022RC3063, the Top Ten Technical Research Projects of Hunan Province under Grant 2024GK1010, the Key Research Development Program of Hunan Province under Grant 2022GK2011, and in part by Hangzhou SurImage Technology Company Ltd.

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Authors and Affiliations

  1. Hunan University, Changsha, China

    Yihong Cao, Yuhongxuan Zhang, Hui Zhang & Kailun Yang

  2. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Jiaming Zhang, Kunyu Peng & Rainer Stiefelhagen

  3. Zhejiang University, Hangzhou, China

    Hao Shi

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  1. Yihong Cao
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Correspondence to Hui Zhang or Kailun Yang .

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Editors and Affiliations

  1. University of Birmingham, Birmingham, UK

    Aleš Leonardis

  2. University of Trento, Trento, Italy

    Elisa Ricci

  3. Technical University of Darmstadt, Darmstadt, Germany

    Stefan Roth

  4. Princeton University, Princeton, NJ, USA

    Olga Russakovsky

  5. Czech Technical University in Prague, Prague, Czech Republic

    Torsten Sattler

  6. École des Ponts ParisTech, Marne-la-Vallée, France

    Gül Varol

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Cao, Y. et al. (2025). Occlusion-Aware Seamless Segmentation. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision – ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15077. Springer, Cham. https://doi.org/10.1007/978-3-031-72655-2_8

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