Domain classifier-based transfer learning for visual attention prediction

Author:

Zhang ZhiwenORCID,Duan Feng,Caiafa Cesar F.ORCID,Solé-Casals JordiORCID,Yang Zhenglu,Sun ZheORCID

Funder

national key r&d program of china

national natural science foundation of china

tianjin natural science foundation for distinguished young scholars

tianjin science and technology plan project

pict

ubacyt

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference42 articles.

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2. Bäuml, B., Tulbure, A.: Deep n-shot transfer learning for tactile material classification with a flexible pressure-sensitive skin. In: International Conference on Robotics and Automation (ICRA), pp. 4262–4268. IEEE (2019)

3. Bengio, Y.: Deep learning of representations for unsupervised and transfer learning. In: Proceedings of ICML Workshop on Unsupervised and Transfer Learning, pp. 17–36. JMLR Workshop and Conference Proceedings (2012)

4. Borji, A., Itti, L.: Scene classification with a sparse set of salient regions. In: International Conference on Robotics and Automation (ICRA), pp. 1902–1908. IEEE (2011)

5. Borji, A., Itti, L.: CAT2000: A large scale fixation dataset for boosting saliency research. In: Conference on Computer Vision and Pattern Recognition (CVPR) Future of Datasets Workshop. IEEE (2015)

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