The developed underwater object detection framework also provides a prediction refinement scheme according to six prediction layers, it can refine multi-scale features to better align with anchors by learning from offsets, which solve the problem of sample imbalance to a certain extent. We also ...
underwater-object-detection-mmdetectionDe**ie 上传 Python Cuda C++ Shell 获奖方案基于MMDetection框架,专为水下物体检测任务优化。它采用了单模策略,首先对光学图像进行预处理,利用深度学习模型如高效卷积神经网络(如YOLO或FCN)对图像进行特征提取。通过多尺度卷积和anchor机制,提高对水下目标(如鱼、海洋生物或沉船)...
zhengye1995/underwater-object-detectionPublic NotificationsYou must be signed in to change notification settings Fork59 Star203 Files master configs mmdet tools .gitignore .isort.cfg .pre-commit-config.yaml .style.yapf .travis.yml README.md ...
underwater-object-detection-mmdetection 和鲸社区Kesci 水下目标检测算法赛(光学图像赛项) 答辩PPT coming soon or by contacting with me 整体思路 使用两阶段检测框架,保证精度要求; 使用FPN,增强小目标的检测效果; 使用Mixup、旋转等无损的数据增强技术,减轻网络过拟合,并提升模型泛化能力; 使用多尺度训练与...
In the realm of marine environmental engineering, the swift and accurate detection of underwater targets is of considerable significance. Recently, methods based on Convolutional Neural Networks (CNN) have been applied to enhance the detection of such ta
水下目标检测算法赛 声学图像赛项 第15名代码 (15th Code for Underwater Object Detection Algorithm Competition Sonar Track ) - dbofseuofhust/2020-Uodac-KG
underwater-object-detection-mmdetection 和鲸社区Kesci 水下目标检测算法赛(光学图像赛项)答辩PPTcoming soon or by contacting with me 整体思路使用两阶段检测框架,保证精度要求; 使用FPN,增强小目标的检测效果; 使用Mixup、旋转等无损的数据增强技术,减轻网络过拟合,并提升模型泛化能力; 使用多尺度训练与预测,...
Underwater salient object detection seeks to pinpoint the most vital elements in underwater environments, offering considerable promise for underwater exploration. Considering the preference for low-complexity algorithms in underwater applications to maximize overall system efficiency, this paper proposes Effi...
It is usually work as a pre-processing step to improve the performance of high level vision tasks such as underwater object detection. Even though many previous works show the underwater image enhancement algorithms can boost the detection accuracy of the detectors, no work specially focus on ...
Underwater object detection for robot picking has attracted a lot of interest. However, it is still an unsolved problem due to several challenges. We take steps towards making it more realistic by addressing the following challenges. Firstly, the currently available datasets basically lack the test...