Visual Saliency Prediction - Models and Evaluation: Analyzing models and evaluation metrics for predicting visual saliency, i.e., identifying the most relevant regions in images or videos
Keywords:
Visual Saliency Prediction, ModelsAbstract
Visual saliency prediction plays a crucial role in various computer vision applications by identifying the most relevant regions in images or videos. This paper presents a comprehensive review of models and evaluation metrics for visual saliency prediction. We discuss the evolution of saliency prediction models, from early bottom-up approaches to the latest deep learning-based methods. Additionally, we analyze the various evaluation metrics used to assess the performance of these models. Through a comparative study, we highlight the strengths and weaknesses of different models and metrics, providing insights into the current state-of-the-art in visual saliency prediction. Finally, we discuss future research directions and challenges in this field.
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