mlsanityData to 14 Oct 2026

SHD360: A Benchmark Dataset for Salient Human Detection in 360deg Videos

arXiv 2105.11578 ↗First posted 24 May 2021cs.CVcited by 4

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Abstract (arXiv)

Salient human detection (SHD) in dynamic 360deg immersive videos is of great importance for various applications such as robotics, inter-human and human-object interaction in augmented reality. However, 360deg video SHD has been seldom discussed in the computer vision community due to a lack of datasets with large-scale omnidirectional videos and rich annotations. To this end, we propose SHD360, the first 360deg video SHD dataset which contains various real-life daily scenes. Since so far there is no method proposed for 360deg image/video SHD, we systematically benchmark 11 representative state-of-the-art salient object detection (SOD) approaches on our SHD360, and explore key issues derived from extensive experimenting results. We hope our proposed dataset and benchmark could serve as a good starting point for advancing human-centric researches towards 360deg panoramic data. The dataset is available at https://github.com/PanoAsh/SHD360.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 35 of its 71 references that are in the map. First posted on arXiv 24 May 2021.

Builds on

35 of 71 references.

References · 35

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  12. 2020See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networkscited by 138
23 more
  1. 2019Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarkscited by 133
  2. 2020Suppress and Balance: A Simple Gated Network for Salient Object Detectioncited by 126
  3. 2020Label Decoupling Framework for Salient Object Detectioncited by 111
  4. 2017Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsingcited by 109
  5. 2020Global Context-Aware Progressive Aggregation Network for Salient Object Detectioncited by 109
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  7. 2020Highly Efficient Salient Object Detection with 100K Parameterscited by 79
  8. 2019Motion Guided Attention for Video Salient Object Detectioncited by 72
  9. 2018Cube Padding for Weakly-Supervised Saliency Prediction in 360deg Videoscited by 66
  10. 2019Semi-Supervised Video Salient Object Detection Using Pseudo-Labelscited by 54
  11. 2018Salient Objects in Clutter: Bringing Salient Object Detection to the Foregroundcited by 47
  12. 2020PANDA: A Gigapixel-level Human-centric Video Datasetcited by 45
  13. 2017Instance-Level Salient Object Segmentationcited by 38
  14. 2016Gated Siamese Convolutional Neural Network Architecture for Human Re-Identificationcited by 34
  15. 2017Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approachcited by 34
  16. 2019360-Indoor: Towards Learning Real-World Objects in 360deg Indoor Equirectangular Imagescited by 26
  17. 2020TENet: Triple Excitation Network for Video Salient Object Detectioncited by 26
  18. 2017Deep 360 Pilot: Learning a Deep Agent for Piloting through 360deg Sports Videocited by 22
  19. 2018Object Detection in Equirectangular Panoramacited by 20
  20. 2016A Benchmark Dataset and Saliency-guided Stacked Autoencoders for Video-based Salient Object Detectioncited by 19
  21. 2018Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video: A Large-Scale Dataset and a Deep Learning Modelcited by 19
  22. 2019Distortion-adaptive Salient Object Detection in 360^circ Omnidirectional Imagescited by 15
  23. 2020A Fixation-based 360deg Benchmark Dataset for Salient Object Detectioncited by 8

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Cited by year

Citing papers per year: 2022: 2; 2023: 2.

4 papers.

  1. 2022Deep Learning for Omnidirectional Vision: A Survey and New Perspectivescited by 38
  2. 2023PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentationcited by 18
  3. 2022View-aware Salient Object Detection for 360deg Omnidirectional Imagecited by 6
  4. 2023A Spatial-Temporal Dual-Mode Mixed Flow Network for Panoramic Video Salient Object Detectioncited by 0