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Transfer learning with deep networks for saliency prediction in natural video.

, , and . ICIP, page 1604-1608. IEEE, (2016)

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Deep Saliency: Prediction of Interestingness in Video with CNN., , , and . Visual Content Indexing and Retrieval with Psycho-Visual Models, Springer, (2017)Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology., , , , and . CBMS, page 369-374. IEEE Computer Society, (2018)Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives. (Study and prediction of visual attention with deep learning networks in view of assessment of patients with neurodegenerative diseases).. University of Sfax, Tunisia, (2017)Transfer learning with deep networks for saliency prediction in natural video., , and . ICIP, page 1604-1608. IEEE, (2016)Deep Learning for Saliency Prediction in Natural Video., , , and . CoRR, (2016)Impact of Saliency and Gaze Features on Visual Control: Gaze-Saliency Interest Estimator., and . ACM Multimedia, page 1367-1374. ACM, (2019)ChaboNet : Design of a deep CNN for prediction of visual saliency in natural video., , and . J. Vis. Commun. Image Represent., (2019)Prediction of visual attention with Deep CNN for studies of neurodegenerative diseases., , , and . CBMI, page 1-6. IEEE, (2016)