Apr 13, 2020 · This paper demonstrates a detailed overview of the recent progress of saliency detection models in terms of heuristic-based techniques and deep learning-based ...
We have reviewed the key issues of the current saliency models and discussed future trends and recommendations. The broadly utilized datasets and assessment ...
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Abstract: Salient object detection models mimic the behavior of human beings and capture the most salient region/object from the images or scenes, ...
Salient object detection models mimic the behavior of human beings and capture the most salient region/object from the images or scenes, this field contains ...
We have reviewed the key issues of the current saliency models and discussed future trends and recommendations. The broadly utilized datasets and assessment ...
May 11, 2024 · Salient object detection models mimic the behavior of human beings and capture the most salient region/object from the images or scenes, ...
Apr 13, 2020 · This paper demonstrates a detailed overview of the recent progress of saliency detection models in terms of heuristic-based techniques and deep learning-based ...
Abstract: Saliency detection is a challenging problem and one of the most active research topics in the field of computer vision.
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Mar 9, 2018 · In this paper, we review different types of saliency detection algorithms, summarize the important issues of the existing methods, and discuss the existent ...
Jul 26, 2023 · Literature of saliency detection suggests two models: Top-down model and bottom up model. ... saliency map bottom up approach combines top down ...