SMST: A Saliency Map to Scanpath Transformer
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Cao, Xi, Ge, Yong-Feng 
ORCID: https://orcid.org/0000-0002-5955-6295 and Lin, Ying ORCID: https://orcid.org/0000-0003-4141-1490
(2023)
SMST: A Saliency Map to Scanpath Transformer.
In: Databases Theory and Applications 34th Australasian Database Conference, ADC 2023, 1-3 Nov 2023, Melbourne, Australia.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/47436 |
| DOI | 10.1007/978-3-031-47843-7_10 |
| Official URL | https://link.springer.com/chapter/10.1007/978-3-03... |
| ISBN | 9783031478420 |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > FOR (2020) Classification > 4607 Graphics, augmented reality and games Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | virtual reality; scanpath prediction; omnidirectional image; saliency map to scanpath transformer; ant colony algorithm |
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