A Deep Reinforcement Learning-based Interest-Aware Adaptive Bitrate (ABR) scheme, called DIA, that guarantees the quality of perceptually key objects in each frame, while dynamically allocating lower resolutions for non-key objects to conserve bandwidth under constrained network conditions is proposed.
Zhe Zhang, Haiwei Dong, Marc St-Hilaire et al.· IEEE Transactions on Mobile...· 0 citations
SNIP quantifies the structural discrepancy between individual source nodes and the target domain by integrating multiple centrality measures, assigning each source node an influence score, and constructs a refined"sub-source"graph that is inherently more beneficial for subsequent alignment.
Ridong Han, Yawen Shen, Zhongnian Li et al.· arXiv.org· 0 citations
These results establish frozen DINOv3 as a strong zero-shot representation for region-level facial correspondence and identify intermediate self-supervised features as the most useful layer for dense face analysis.
Izaldein Al-Zyoud, Abdulmotaleb El Saddik· arXiv.org· 0 citations
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