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@@ -64,7 +64,7 @@ The outputs of the prediction models – i.e., the predicted memorability scores
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[4] Junwei Han, Changyuan Chen, Ling Shao, Xintao Hu, Jungong Han, and Tianming Liu. 2015. [Learning computational models of video memorability from fMRI brain imaging](https://ieeexplore.ieee.org/abstract/document/6919270). IEEE Transactions on Cybernetics 45, 8 (2015), 1692–1703.\
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[5] Sumit Shekhar, Dhruv Singal, Harvineet Singh, Manav Kedia, and Akhil Shetty. 2017. [Show and Recall: Learning What Makes Videos Memorable](https://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w40/Shekhar_Show_and_Recall_ICCV_2017_paper.pdf). In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2730–2739.\
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[6] Romain Cohendet, Claire-Hélène Demarty, Ngoc Duong, and Martin Engilberge. 2019. [VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability](https://openaccess.thecvf.com/content_ICCV_2019/papers/Cohendet_VideoMem_Constructing_Analyzing_Predicting_Short-Term_and_Long-Term_Video_Memorability_ICCV_2019_paper.pdf). In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2531-2540. \
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[7] Mihai Gabriel Constantin, Miriam Redi, Gloria Zen, and Bodgan Ionescu. 2019. [Computational Understanding of Visual Interestingness Beyond Semantics: Literature Survey and Analysis of Covariates](http://campus.pub.ro/lab7/bionescu/index_files/pub/2018_ACM_CSUR-draft.pdf). ACM Computing Surveys, 52(2). \
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[7] Mihai Gabriel Constantin, Miriam Redi, Gloria Zen, and Bodgan Ionescu. 2019. [Computational Understanding of Visual Interestingness Beyond Semantics: Literature Survey and Analysis of Covariates](https://dl.acm.org/doi/10.1145/3301299). ACM Computing Surveys, 52(2). \
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[8] Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry McNamara, and Aude Oliva. 2020. [Modeling Effects of Semantics and Decay on Video Memorability
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](https://arxiv.org/pdf/2009.02568.pdf). European Conference on Computer Vision (ECCV), 2020.
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