首页>
外国专利>
MULTI-LAYER FUSION IN A CONVOLUTIONAL NEURAL NETWORK FOR IMAGE CLASSIFICATION
MULTI-LAYER FUSION IN A CONVOLUTIONAL NEURAL NETWORK FOR IMAGE CLASSIFICATION
展开▼
机译:卷积神经网络中的图像融合多层融合
展开▼
页面导航
摘要
著录项
相似文献
摘要
A method and system for domain adaptation based on multi-layer fusion in a convolutional neural network architecture for feature extraction and a two-step training and fine-tuning scheme. The architecture concatenates features extracted at different depths of the network to form a fully connected layer before the classification step. First, the network is trained with a large set of images from a source domain as a feature extractor. Second, for each new domain (including the source domain), the classification step is fine-tuned with images collected from the corresponding site. The features from different depths are concatenated with and fine-tuned with weights adjusted for a specific task. The architecture is used for classifying high occupancy vehicle images.
展开▼