Evaluation of performance over various pre-trained deepconvolutional neural network models for co-saliency detection problem-Reference-Cited by-同舟云学术

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Evaluation of performance over various pre-trained deepconvolutional neural network models for co-saliency detection problem

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
language:
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Author:

Mangal Anuj,Garg Hitendra,Bhatnagar Charul

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0154073

Reference21 articles.

1. Liu, N. and J. Han. Dhsnet: Deep hierarchical saliency network for salient object detection. in Proceedingsofthe IEEE Conference on Computer Vision and Pattern Recognition. 2016.

2. Integrating Visual Saliency and Consistency for Re-Ranking Image Search Results

3. Lu, X. and X. Li, Multiresolution imaging. IEEE transactions on cybernetics, 2013. 44(1): p. 149–160.

4. Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images

5. Lu, X., X. Li, and L. Mou, Semi-supervised multitask learning for scene recognition. IEEE transactions oncybernetics, 2014. 45(9): p. 1967–1976.

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1. Research on Collaborative Salient Object Detection Using Collaborative Feature Integration and Extraction;2024 12th International Conference on Intelligent Control and Information Processing (ICICIP);2024-03-08

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