RefCD enables unsupervised category-aware object detection by using feature similarity between predicted objects and unlabeled reference images to guide category learning.
Discovering object masks with transformers for unsupervised semantic segmentation
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CAUSE uses frontdoor adjustment with a discretized concept clusterbook mediator to perform unsupervised semantic segmentation and reports state-of-the-art results.
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Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness
RefCD enables unsupervised category-aware object detection by using feature similarity between predicted objects and unlabeled reference images to guide category learning.
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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.