Fully Convolutional Multi-Class Multiple Instance Learning
International Conference on Learning Representations, 2014.
Multiple instance learning (MIL) can reduce the need for costly annotation in tasks such as semantic segmentation by weakening the required degree of supervision. We propose a novel MIL formulation of multi-class semantic segmentation learning by a fully convolutional network. In this setting, we seek to learn a semantic segmentation mo...More
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