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Instance Segmentation by Instance Label Factorization
Instance Segmentation by Instance Label Factorization
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机译:通过实例标签分解进行实例细分
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摘要
A computer system trains a neural network on an instance segmentation task by casting the problem as one of mapping each pixel to a probability distribution over arbitrary instance labels. This simplifies both the training and inference problems, because the formulation is end-to-end trainable and requires no post-processing to extract maximum a posteriori estimates of the instance labels.
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