Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference67 articles.
1. Fully-convolutional siamese networks for object tracking;Bertinetto,2016
2. Bhat, G., Danelljan, M., Gool, L.V., Timofte, R., 2019. Learning discriminative model prediction for tracking. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 6182–6191.
3. Know your surroundings: Exploiting scene information for object tracking;Bhat,2020
4. Bhat, G., Johnander, J., Danelljan, M., Khan, F.S., Felsberg, M., 2018. Unveiling the power of deep tracking. In: Proceedings of the European Conference on Computer Vision. ECCV, pp. 483–498.
5. Byeon, W., Wang, Q., Srivastava, R.K., Koumoutsakos, P., 2018. Contextvp: Fully context-aware video prediction. In: Proceedings of the European Conference on Computer Vision. ECCV, pp. 753–769.
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