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Unsupervised Semantic Segmentation

1 papers with code · Computer Vision

Models that learn to segment each image (i.e. cluster the pixels into their ground truth classes) without seeing the ground truth labels.

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Invariant Information Clustering for Unsupervised Image Classification and Segmentation

arXiv 2019 xu-ji/IIC

The method is not specialised to computer vision and operates on any paired dataset samples; in our experiments we use random transforms to obtain a pair from each image.

SEMI-SUPERVISED IMAGE CLASSIFICATION UNSUPERVISED IMAGE CLASSIFICATION UNSUPERVISED SEMANTIC SEGMENTATION