Multi-Algorithm Deep Unfolding With Application to Foreground Detection
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DOI: 10.1109/lsp.2025.3618508
Abstract: Deep learning models have achieved impressive results across various image processing and computer vision tasks. However, they often require large datasets, lack transparency, and struggle to incorporate expert knowledge. Deep unfolding offers a solution for… read more here.
Keywords: foreground detection; deep unfolding; algorithm deep; model ... See more keywords
Foreground Detection Based on Superpixel and Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4331351
Abstract: Foreground detection is an essential step in computer vision and video processing. Accurate foreground object extraction is crucial for subsequent high-level tasks such as target recognition and tracking. Although many foreground detection algorithms have been… read more here.
Keywords: superpixel semantic; semantic segmentation; foreground detection; foreground ... See more keywords
Fusion Attention Mechanism for Foreground Detection Based on Multiscale U-Net Architecture
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7432615
Abstract: Foreground detection is a classic video processing task, widely used in video surveillance and other fields, and is the basic step of many computer vision tasks. The scene in the real world is complex and… read more here.
Keywords: attention; attention mechanism; architecture; foreground detection ... See more keywords