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20212025
most citedHYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations

11 citations · 15 across the 7 of their papers we have counts for

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2 papers · 1 filter

cs.CV2023★ 1 cited

Hyperbolic Active Learning for Semantic Segmentation under Domain Shift

Luca Franco, Paolo Mandica, Konstantinos Kallidromitis +4

We introduce a hyperbolic neural network approach to pixel-level active learning for semantic segmentation. Analysis of the data statistics leads to a novel interpretation of the h…

cs.CV2023★ 11 cited

HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations

Luca Franco, Paolo Mandica, Bharti Munjal +1

Self-paced learning has been beneficial for tasks where some initial knowledge is available, such as weakly supervised learning and domain adaptation, to select and order the train…