Saliency prediction on omnidirectional images with attention-aware feature fusion network

Author:

Zhu Dandan,Chen Yongqing,Zhao Defang,Zhou Qiangqiang,Yang XiaokangORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference40 articles.

1. Reina MA, Nieto XG, McGuinness K, O’Connor NE (2017) Saltinet: scan-path prediction on 360 degree images using saliency volumes. In: Proceedings of the IEEE international conference on computer vision, pp 2331–2338

2. Battisti F, Baldoni S, Brizzi M, Carli M (2018) A feature-based approach for saliency estimation of omni-directional images. Signal Process: Image Commun 69:53–59

3. Borji A (2012) Boosting bottom-up and top-down visual features for saliency estimation. In: 2012 Boosting IEEE conference on computer vision and pattern recognition, pp 438–445

4. Corbillon X, De Simone F, Simon G (2017) 360-degree video head movement dataset. In: Proceedings of the 8th ACM on multimedia systems conference. ACM, pp 199–204

5. Cornia M, Baraldi L, Serra G, Cucchiara R (2016) A deep multi-level network for saliency prediction. In: 2016 23rd International conference on pattern recognition (ICPR). IEEE, pp 3488–3493

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