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SalGAN: Visual Saliency Prediction with Generative Adversarial Networks, , , , , , and . (2017)cite arxiv:1701.01081Comment: Our results can be reproduced with the source code and trained models available at https://imatge-upc.github.io/saliency-salgan-2017/.ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos., , , and . CoRR, (2020)Rethinking 360° Image Visual Attention Modelling with Unsupervised Learning., , , and . ICCV, page 15394-15404. IEEE, (2021)Dublin City University Participation in the VTT Track at TRECVid 2017., , , , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2017)Bags of Local Convolutional Features for Scalable Instance Search., , , , , and . ICMR, page 327-331. ACM, (2016)Learning Saliency From Fixations., , and . CoRR, (2023)Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation., , , , , , and . CVPR Workshops, page 1635-1645. IEEE, (2022)Insight DCU at TRECVid 2015., , , , , , , , , and 2 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2015)Domain Randomization for Object Counting., , , and . AICS, volume 3105 of CEUR Workshop Proceedings, page 25-35. CEUR-WS.org, (2021)Vision Transformers are Inherently Saliency Learners., , and . BMVC, page 771-774. BMVA Press, (2023)