Target detection algorithm based on deep learning needs high computer GPU configuration, even need to use performance workstation, this not only makes the cost increase, also greatly limits realizability of ground, paper introduces a kind lightweight for target under condition balance accuracy and computational efficiency, MobileNet as Backbone performs parameter The processing speed is 30fps R...

Automatic liver cancer detection (ALCD) is very crucial in automatic biomedical image analysis diagnosis as it the largest organ body and plays a significant role metabolic process well elimination of toxins. In last decade, various machine deep learning schemes have been investigated for ALCD using computed tomography (CT) images. However, CT images challenging because noise, intricate structu...

Synthetic aperture radar (SAR) image ship detection is currently a research hotspot in the field of national defense science and technology. However, SAR images contain large amount coherent speckle noise, which poses significant challenges task detection. To address this issue, we propose filter convolution, novel design that replaces traditional convolution layer suppresses noise while extrac...

With the increase of large shopping malls, there are many parking spaces in complex environments, which increases difficulty finding vehicles such environments. To upgrade consumer's experience, some car manufacturers have proposed detecting space numbers spaces. The detection number environments has problems as diversified background numbers, tilted direction and small scale. Since no scholar ...