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Oct 14, 2020 · In this paper, we propose an efficient saliency detection framework by introducing multi-scale representation and multi-level combination to deep convolutional ...
In this paper, we propose an efficient saliency detection framework by introducing multi-scale representation and multi-level combination to deep convolutional ...
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23 hours ago · Salient object detection (SOD) enables machines to recognize and accurately segment visually prominent regions in images.
The proposed framework contains five steps of the saliency detection algorithm, including pre-processing, feature extraction, saliency map generation, and map.
With such a rich feature representation, we are able to cast saliency detection as a regression problem for which a boosted predictor is trained to estimate ...
All of them are aimed to explore different combinations of features at multiple layers to integrate salient visual cues from multiple views. How- ever, not all ...
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Apr 30, 2024 · In this work, we propose a saliency detection method via multiple-level feature learning. First, we use a DNN model to generate a pixel-wise coarse saliency ...
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This article presents an improved method for multispectral pedestrian detection. The method utilises a saliency detection technique to modify the infrared ...
May 14, 2024 · This paper suggests a robust and effective methodology for salient object detection. This method involves two main stages.
In this paper, we aim to jointly learn global and local features in a layer-wise manner for solving the salient object detection task. Rather than using a pure ...