Abstract
Zhongchao Deng, Yuanhang Liu, Xiaokai Mu, Xiaomin Wang, Hongde Qin, Zhongben Zhu
Abstract
Authors
Institutions
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Provenance
crossref
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Confidence 99%
openalex
Confidence 95%
datacite
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Underwater object detection algorithm integrating image enhancement and deformable convolution
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Lightweight semantic feature extraction model with direction awareness for aerial traffic object detection
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A lightweight network enhanced by attention-guided cross-scale interaction for underwater object detection
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KACNet: Enhancing CNN feature representation with Kolmogorov-Arnold networks for medical image segmentation and classification
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A real-world underwater turbid image enhancement benchmark and beyond
10.1016/j.knosys.2025.114683 · doi-reference
LMFEN: Lightweight multi-scale feature enhancement network for underwater object detection in AUVs
10.1016/j.oceaneng.2025.122109 · doi-reference
10.1109/iccv51701.2025.00277
10.1109/iccv51701.2025.00277 · doi-reference
Dual-stream feature pyramid network with task interaction for underwater object detection
10.1016/j.dsp.2025.105199 · doi-reference
Edge-guided representation learning for underwater object detection
10.1049/cit2.12325 · doi-reference
Multi-scale feature fusion enhancement for underwater object detection
10.3390/s24227201 · doi-reference
MTNet: A multi-task cascaded network for underwater image enhancement
10.1007/s11042-023-16967-6 · doi-reference
Is underwater image enhancement all object detectors need?
10.1109/joe.2023.3302888 · doi-reference
Underwater optical object detection in the era of artificial intelligence: current, challenge, and future
10.1145/3759243 · doi-reference
Understanding the influence of image enhancement on underwater object detection: A quantitative and qualitative study
10.3390/rs17020185 · doi-reference
A systematic review and analysis of deep learning-based underwater object detection
10.1016/j.neucom.2023.01.056 · doi-reference
Two-phase underwater image enhancement network using multiscale attentive unsharp masking
10.1016/j.asoc.2025.114321 · doi-reference
Joint optimization technique of image enhancement and object detection based on a genetic algorithm for underwater target detection
10.1364/ao.565695 · doi-reference
Optimized YOLOv8s framework with deformable convolution for underwater object detection
10.1038/s41598-025-28989-1 · doi-reference
A new dataset, model, and benchmark for lightweight and real-time underwater object detection
10.1016/j.neucom.2025.130891 · doi-reference
Advancing underwater vision: A survey of deep learning models for underwater object recognition and tracking
10.1109/access.2025.3534098 · doi-reference
STLNet: Underwater image enhancement and shadow removal
10.1016/j.measurement.2025.119071 · doi-reference
Low bit-rate compression of underwater image based on human visual system
10.1016/j.image.2020.116082 · doi-reference
Underwater image restoration and enhancement: a comprehensive review of recent trends, challenges, and applications
10.1007/s00371-024-03630-w · doi-reference
Underwater image restoration based on light attenuation prior and color-contrast adaptive correction
10.1016/j.imavis.2024.105217 · doi-reference
Underwater image quality optimization: Researches, challenges, and future trends
10.1016/j.imavis.2024.104995 · doi-reference