首页>
外国专利>
IDENTIFYING TARGET OBJECTS USING SCALE-DIVERSE SEGMENTATION NEURAL NETWORKS
IDENTIFYING TARGET OBJECTS USING SCALE-DIVERSE SEGMENTATION NEURAL NETWORKS
展开▼
机译:使用尺度分块神经网络识别目标对象
展开▼
页面导航
摘要
著录项
相似文献
摘要
The present disclosure relates to systems, non-transitory computer-readable media, and methods for training and utilizing scale-diverse segmentation neural networks to analyze digital images at different scales and identify different target objects portrayed in the digital images. For example, in one or more embodiments, the disclosed systems analyze a digital image and corresponding user indicators (e.g., foreground indicators, background indicators, edge indicators, boundary region indicators, and/or voice indicators) at different scales utilizing a scale-diverse segmentation neural network. In particular, the disclosed systems can utilize the scale-diverse segmentation neural network to generate a plurality of semantically meaningful object segmentation outputs. Furthermore, the disclosed systems can provide the plurality of object segmentation outputs for display and selection to improve the efficiency and accuracy of identifying target objects and modifying the digital image.
展开▼