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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/.People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting., , , , and . CoRR, (2017)Holistic features for real-time crowd behaviour anomaly detection., , , and . ICIP, page 918-922. IEEE, (2016)ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos., , , and . CoRR, (2020)Dublin City University Participation in the VTT Track at TRECVid 2017., , , , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2017)PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks., , , and . ECCV Workshops (5), volume 11133 of Lecture Notes in Computer Science, page 406-422. Springer, (2018)Bags of Local Convolutional Features for Scalable Instance Search., , , , , and . ICMR, page 327-331. ACM, (2016)Synthetic data for unsupervised polyp segmentation., , and . CoRR, (2022)Addressing out-of-distribution label noise in webly-labelled data., , , , and . CoRR, (2021)Learning Saliency From Fixations., , and . CoRR, (2023)