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دسته بندی:
یادگیری عمیق - deep learning
سال انتشار:
2019
عنوان انگلیسی مقاله:
Object Memorability Prediction using Deep Learning: Location and Size Bias
ترجمه فارسی عنوان مقاله:
پیش بینی قابلیت یادآوری شی با استفاده از یادگیری عمیق: محل و اندازه
منبع:
Sciencedirect - Elsevier - Journal of Visual Communication and Image Representation, 59 (2019) 117-127: doi:10:1016/j:jvcir:2019:01:008
نویسنده:
Sathisha Basavaraju ⇑, Sibaji Gaj, Arijit Sur
چکیده انگلیسی:
Object memorability prediction is a task of estimating the probability that a human recognises the recurrence
of an object after a single view. Initial research on object memorability showed that it is possible to
predict the object memorability scores from the intrinsic features of an object. Though the existing works
proposed some of the features for object memorability prediction task, the influence of Spatial-location
and Spatial-size of an object to its memorability have not been explored yet. In this work, the importance
of these two characteristics in determining object memorability prediction is investigated and the same is
demonstrated by building a baseline model. Further, a deep learning model is devised for automatic feature
learning on these two object characteristics. Experimental results highlight that the Spatial-location
and Spatial-size of an object play a significant role in object memorability prediction and the proposed
models outperformed the existing methods
Keywords: Object Memorability | Deep Learning | Transfer Learning
قیمت: رایگان
توضیحات اضافی:
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