Hyp2Former learns hierarchical semantic similarities in hyperbolic space among known categories so that unknown objects remain close to higher-level concepts and can be detected reliably.
arXiv preprint arXiv:2303.10147 (2023)
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Orion is a self-adaptive memory management framework for on-device online continual learning that co-optimizes latency, plasticity, and stability via URGE-based reallocation and prefetching.
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Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation
Hyp2Former learns hierarchical semantic similarities in hyperbolic space among known categories so that unknown objects remain close to higher-level concepts and can be detected reliably.
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Orion: Enabling Self-adaptive Memory Management for On-device Online Continual Learning
Orion is a self-adaptive memory management framework for on-device online continual learning that co-optimizes latency, plasticity, and stability via URGE-based reallocation and prefetching.