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Nature Inspired Algorithms for Improving Underwater Object Detection

https://doi.org/10.2139/ssrn.4828971
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inferredcites →https://doi.org/10.1007/978-981-15-5281-6_7openalex-extracted
Analysis of Pruned Neural Networks (MobileNetV2-YOLO v2) for Underwater Object Detection
inferredcites →https://doi.org/10.1007/s11760-020-01818-wopenalex-extracted
Multi-scale ResNet for real-time underwater object detection
inferredcites →https://doi.org/10.1109/auv.1994.518613openalex-extracted
Real-time underwater object detection based on an electrically scanned high-resolution sonar
inferredcites →https://doi.org/10.1109/auv.1996.532432openalex-extracted
An integrated environment for fast development and performance assessment of sonar image processing algorithms - SSIE
inferredcites →https://doi.org/10.1109/tgrs.2016.2591619openalex-extracted
Real-Time Underwater Object Detection Based on DC Resistivity Method
inferredcites →https://doi.org/10.1109/tnn.2006.873279openalex-extracted
Lidar detection of underwater objects using a neuro-SVM-based architecture
inferredcites →https://doi.org/10.3390/s23052567openalex-extracted
Underwater Object Detection Using TC-YOLO with Attention Mechanisms
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