Results indicate that cinematic video assessment benefits from jointly modeling low-level fidelity, temporal continuity and high-level narrative alignment, especially for synthetic clips whose visual realism and semantic plausibility fail in different ways.
Yan-Xiu Dan, Yu-Heng Li· Applied Sciences· 0 citations
Experiments show that DFA-Det improves small-object precision, crowded-scene recall, and cross-scale robustness compared with representative two-stage, one-stage, transformer-based, and recent YOLO-family detectors.
TopoGraph-Fusion is presented, a hierarchical graph-guided dual-modal object detector that formulates fusion as topology-aware reasoning rather than direct feature concatenation and improves small-object recall, cross-modal consistency, and robustness under modality imbalance.
Pu Yu, Yanshan Ma, Yu-Heng Li et al.· Symmetry· 0 citations
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