Modeling driving task-relevant attention for intelligent vehicles using triplet ranking
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://link.springer.com/content/pdf/10.1007/s00138-023-01437-8.pdf
Reference40 articles.
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2. Chechik, G., Sharma, V., Shalit, U., Bengio, S.: Large scale online learning of image similarity through ranking. J. Mach. Learn. Res. 11(3) (2010)
3. De Brabandere, B., Neven, D., Van Gool, L..: Semantic instance segmentation for autonomous driving. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 7–9 (2017)
4. Diaz, R., Marathe, A..: Soft labels for ordinal regression. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4738–4747 (2019)
5. Dong, X., Shen, J.: Triplet loss in siamese network for object tracking. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 459–474 (2018)
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