UniV2D is a dual-branch network that lets high-level saliency masks guide low-level image restoration and lets restored features improve saliency detection, outperforming prior separate-stage methods on underwater benchmarks.
Efficient underwater object de- tection with enhanced feature extraction and fusion.IEEE Transactions on Industrial Informatics, 21(6):4904–4914
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
UniV2D: Bridging Visual Restoration and Semantic Perception for Underwater Salient Object Detection
UniV2D is a dual-branch network that lets high-level saliency masks guide low-level image restoration and lets restored features improve saliency detection, outperforming prior separate-stage methods on underwater benchmarks.