首页>
外国专利>
DOMAIN ADAPTATION FOR STRUCTURED OUTPUT VIA DISENTANGLED REPRESENTATIONS
DOMAIN ADAPTATION FOR STRUCTURED OUTPUT VIA DISENTANGLED REPRESENTATIONS
展开▼
机译:通过分离表示法对结构化输出进行域自适应
展开▼
页面导航
摘要
著录项
相似文献
摘要
Systems and methods for domain adaptation for structured output via disentangled representations are provided. The system receives a ground truth of a source domain. The ground truth is used in a task loss function for a first convolutional neural network that predicts at least one output based on inputs from the source domain and a target domain. The system clusters the ground truth of the source domain into a predetermined number of clusters, and predicts, via a second convolutional neural network, a structure of label patches. The structure includes an assignment of each of the at least one output of the first convolutional neural network to the predetermined number of clusters. A cluster loss is computed for the predicted structure of label patches, and an adversarial loss function is applied to the predicted structure of label patches to align the source domain and the target domain on a structural level.
展开▼