首页>
外国专利>
Method for Improving Temporal Consistency of Deep Neural Networks
Method for Improving Temporal Consistency of Deep Neural Networks
展开▼
机译:提高深神经网络时间一致性的方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
Training a network for image processing with temporal consistency includes obtaining un-annotated frames from a video feed. A pretrained network is applied to the first frame of first frame set comprising a plurality of frames to obtain a first prediction, wherein the pretrained network is pretrained for a first image processing task. A current version of the pretrained network is applied to each frame of the first frame set to obtain a first prediction. A content loss term is determined, based on the first prediction and a current prediction for the frame, based on the current network. A temporal consistency loss term is also determined based on a determined consistency of pixels within each frame of the first frame set. The pretrained network may be refined based on the content loss term and the temporal term to obtain a refined network.
展开▼