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hi my name is rehab ahmadi and i will present our work improve image captioning by estimating the gazing patterns from the caption image captioning is the process of automatically generating a human-like natural language description of an image for example given an image we want a model to generate a description that describes objects in the image and their interaction modeling image captioning is highly inspired by human cognition mainly image perception that understand image contents and sentence planning and generation to to describe the image with a natural language in this paper we focus on improving the image perception part of the current image captioning models to generate an image caption quality state-of-the-art models heavily depend on cnn at arsene and to extract the visual features these methods can generate a human-like description by learning visual feature purely from the image such methodology does not explicitly account for how a human perceived the image in order to