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TRAINING A DEEP NEURAL NETWORK MODEL TO GENERATE RICH OBJECT-CENTRIC EMBEDDINGS OF ROBOTIC VISION DATA
TRAINING A DEEP NEURAL NETWORK MODEL TO GENERATE RICH OBJECT-CENTRIC EMBEDDINGS OF ROBOTIC VISION DATA
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机译:培训深度神经网络模型,以产生丰富的机器人视觉数据的对象嵌入
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摘要
Training a machine learning model (e.g., a neural network model such as a convolutional neural network (CNN) model) so that, when trained, the model can be utilized in processing vision data (e.g., from a vision component of a robot), that captures an object, to generate a rich object-centric embedding for the vision data. The generated embedding can enable differentiation of even subtle variations of attributes of the object captured by the vision data.
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