(Linear Bottlenect)降低因模型轻量化造成的模型精度损失.通过实验表明,Mask R-CNN+GFPN+IRS的权重文件大小相较于Mask R-CNN+GFPN减小了2/3,而m AP值只下降了约2～4%,并且在CPU上达到与GPU上接近的处理速度,约为0.4～0.6s/张.对比Mask R-CNN+GFPN模型在CPU处理速度(1.0～1.2s/张)和GPU处理速度(0.5...
海洋锋是重要的中尺度海洋现象,具有数据量小,目标小,弱边缘等特性.针对实际检测任务中弱边缘,小目标海洋锋的检测精度低,错检及漏检率高等问题,融合scSE(spatial and channel Squeeze&Excitation)空间注意力模块构建了一种改进的Mask R-CNN海洋锋检测模型.该方法首先对Mask R-CNN骨干网络结构进行改进,采用scSE模块引导...
Instance Segmentation Generator for Fashion Images using DeepFashion-2 Dataset and Mask R-CNN 来自 ResearchGate 喜欢 0 阅读量: 50 作者: S Ghuge 摘要: The fashion industry is growing exponentially and so is the impact of Machine Learning and Artificial Intelligence. There are various problems that ...
Critical Pattern Selection Method Based on CNN Embeddings for Full-Chip Optimization Source mask optimization (SMO), a primary resolution enhancement technology, is one of the most pivotal technologies for enhancing lithography imaging qual... Q Zhang,J Liu,J Zhou,... - 《Photonics》 被引量: 0...
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This research work comes up with an innovative deep learning move toward based on (CNN) integrated with encoder and UNet. Improved performance measure and classification accuracy rate was obtained for the proposed DT-KNN 5, RF-KNN 5, DT-KNN 6, RF-KNN 6 models. The overall structure of the...