A self-supervised training recipe that clusters features into semantic, instance, and hierarchical groups, then uses the grouped representations to improve downstream object detection.
In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICC V)
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Self-supervised structured object representation learning
A self-supervised training recipe that clusters features into semantic, instance, and hierarchical groups, then uses the grouped representations to improve downstream object detection.