mlsanityData to 7 Oct 2026

SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes

arXiv 1707.03123 ↗First posted 11 Jul 2017cs.CV cs.MMcited by 29

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Abstract (arXiv)

We introduce SaltiNet, a deep neural network for scanpath prediction trained on 360-degree images. The model is based on a temporal-aware novel representation of saliency information named the saliency volume. The first part of the network consists of a model trained to generate saliency volumes, whose parameters are fit by back-propagation computed from a binary cross entropy (BCE) loss over downsampled versions of the saliency volumes. Sampling strategies over these volumes are used to generate scanpaths over the 360-degree images. Our experiments show the advantages of using saliency volumes, and how they can be used for related tasks. Our source code and trained models available at https://github.com/massens/saliency-360salient-2017.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jul 2017.

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Citing papers per year: 2021: 5; 2022: 6; 2023: 5; 2024: 8; 2025: 4; 2026: 1.

29 papers.

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  1. 2022Deep Learning for Omnidirectional Vision: A Survey and New Perspectivescited by 38
  2. 2021ScanGAN360: A Generative Model of Realistic Scanpaths for 360circ Imagescited by 23
  3. 2021State-of-the-Art in Human Scanpath Predictioncited by 22
  4. 2023Unifying Top-down and Bottom-up Scanpath Prediction Using Transformerscited by 22
  5. 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessmentcited by 17
  6. 2024GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpathscited by 15
  7. 2022Multi-Projection Fusion and Refinement Network for Salient Object Detection in 360deg Omnidirectional Imagecited by 13
  8. 2023Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challengescited by 12
  9. 2024Beyond Average: Individualized Visual Scanpath Predictioncited by 12
  10. 2024EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learningcited by 8
  11. 2021SALYPATH: A Deep-Based Architecture for visual attention predictioncited by 7
  12. 2021Scanpath Prediction on Information Visualisationscited by 5
17 more
  1. 2023Perceptual Quality Assessment of 360^circ Images Based on Generative Scanpath Representationcited by 5
  2. 2025Few-shot Personalized Scanpath Predictioncited by 5
  3. 2025DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Imagescited by 5
  4. 2022SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Imagescited by 4
  5. 2022Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shiftscited by 4
  6. 2023Scanpath Prediction in Panoramic Videos via Expected Code Length Minimizationcited by 4
  7. 2024How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and Modelcited by 4
  8. 2024TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processescited by 4
  9. 2022A Probabilistic Time-Evolving Approach to Scanpath Predictioncited by 2
  10. 2022Modeling Human Eye Movements with Neural Networks in a Maze-Solving Taskcited by 2
  11. 2021A Simple and efficient deep Scanpath Predictioncited by 1
  12. 2024DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360deg Imagescited by 1
  13. 2024Semantic-Based Active Perception for Humanoid Visual Tasks with Foveal Sensorscited by 1
  14. 2026SPGen: Stochastic scanpath generation for paintings using unsupervised domain adaptationcited by 1
  15. 2024Pathformer3D: A 3D Scanpath Transformer for 360deg Imagescited by 0
  16. 2025Visual Attention Graphcited by 0
  17. 2025A Comparative Study of Scanpath Models in Graph-Based Visualizationcited by 0