CAUSE uses frontdoor adjustment with a discretized concept clusterbook mediator to perform unsupervised semantic segmentation and reports state-of-the-art results.
One of the key challenges in unsupervised dense prediction is the need to learn semantic representations for each pixel without the guidance of labeled data
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Causal Unsupervised Semantic Segmentation
CAUSE uses frontdoor adjustment with a discretized concept clusterbook mediator to perform unsupervised semantic segmentation and reports state-of-the-art results.