[1] Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 1254-1259(1998).

[2] Yang F, Wei G H, Cao H et al. Research progress on content-based medical image retrieval[J]. Laser & Optoelectronics Progress, 57, 060003(2020).

[3] Meng J X, Zhang L, Cao Y et al. Research on optimization of image semantic segmentati-on algorithms based on Deeplab v3+[J]. Laser & Optoelectronics Progress, 59, 1610009(2022).

[4] Ji Y, Zheng Z J, Wu H et al. Foveated JND model based on stereo vision and its application in image compression with hardware implementation[J]. Acta Optica Sinica, 41, 1210001(2021).

[5] Li N Y, Ye J W, Ji Y et al. Saliency detection on light field[C], 2806-2813(2014).

[6] Li N Y, Ye J W, Ji Y et al. Saliency detection on light field[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1605-1616(2017).

[7] Zhang J, Wang M, Lin L et al. Saliency detection on light field[J]. ACM Transactions on Multimedia Computing, Communications, and Applications, 13, 1-22(2017).

[8] Piao Y R, Li X, Zhang M et al. Saliency detection via depth-induced cellular automata on light field[J]. IEEE Transactions on Image Processing, 29, 1879-1889(2019).

[9] Li S, Deng H P, Zhu L et al. Saliency detection on a light field via the focusness and propagation mechanism[J]. Journal of Image and Graphics, 25, 2578-2586(2020).

[10] Wang X, Dong Y Y, Zhang Q et al. Region-based depth feature descriptor for saliency detection on light field[J]. Multimedia Tools and Applications, 80, 16329-16346(2021).

[11] Zeng Y, Zhuge Y Z, Lu H C et al. Multi-source weak supervision for saliency detection[C], 6067-6076(2019).

[12] Chen Z Y, Xu Q Q, Cong R M et al. Global context-aware progressive aggregation network for salient object detection[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 10599-10606(2020).

[13] Wei J, Wang S H, Huang Q M. F³Net: fusion, feedback and focus for salient object detection[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12321-12328(2020).

[14] Liu N, Zhang N, Han J W. Learning selective self-mutual attention for RGB-D saliency detection[C], 13753-13762(2020).

[15] Li G Y, Liu Z, Ye L W et al. Cross-modal weighting network for RGB-D salient object detection[M]. Vedaldi A, Bischof H, Brox T, et al. Computer vision-ECCV 2020. Lecture notes in computer science, 12362, 665-681(2020).

[16] Piao Y R, Rong Z K, Zhang M et al. Deep light-field-driven saliency detection from a single view[C], 904-911(2019).

[17] Zhang J, Liu Y, Zhang S et al. Light field saliency detection with deep convolutional networks[J]. IEEE Transactions on Image Processing, 29, 4421-4434(2020).

[18] Wang T T, Piao Y R, Lu H C et al. Deep learning for light field saliency detection[C], 8837-8847(2019).

[19] Zhang M, Li J J, Wei J et al. Memory-oriented decoder for light field salient object detection[C], 898-908(2019).

[20] Zhang M, Ji W, Piao Y R et al. LFNet: light field fusion network for salient object detection[J]. IEEE Transactions on Image Processing, 29, 6276-6287(2020).

[21] Piao Y R, Rong Z K, Zhang M et al. Exploit and replace: an asymmetrical two-stream architecture for versatile light field saliency detection[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 11865-11873(2020).

[22] Wang Q L, Wu B G, Zhu P F et al. ECA-net: efficient channel attention for deep convolutional neural networks[C], 11531-11539(2020).

[23] Hu J, Shen L, Albanie S et al. Squeeze-and-excitation networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 2011-2023(2020).

[24] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[EB/OL]. https//arxiv.org/abs/1409.1556v6