Saliency Detection Based on Feature Fusion and Weighted Hypergraph
Author:
Affiliation:
1. Northwest Normal University, China
Funder
Gansu Province Education Science and Technology Innovation Program
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3634875.3634887
Reference39 articles.
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2. [2] Girshick R Donahue J Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2014: 580-587.
3. Content-based image retrieval at the end of the early years
4. Saliency detection and model-based tracking: a two part vision system for small robot navigation in forested environment[C]//Unmanned Systems Technology XIV;Roberts R;International Society for Optics and Photonics,2012
5. [5] Borji A, Frintrop S, Sihite D N, et al. Adaptive object tracking by learning background context[C]// Computer Vision & Pattern Recognition Workshops. IEEE, 2012.
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