FuTCR boosts new-class panoptic quality by up to 28% in continual settings by discovering future-like background regions and applying targeted contrast and repulsion to reserve space for incoming categories.
Attraction-repulsion spectrum in neighbor embeddings.Journal of Machine Learning Research, 23(95):1–32
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FuTCR: Future-Targeted Contrast and Repulsion for Continual Panoptic Segmentation
FuTCR boosts new-class panoptic quality by up to 28% in continual settings by discovering future-like background regions and applying targeted contrast and repulsion to reserve space for incoming categories.