New AI Framework Sharpens the Hunt for Actions Hidden in Untrimmed Video
A new framework called TAL-CGBR improves temporal action localization by feeding classification semantics into boundary regression, achieving 68.5 percent average ...
A new framework called TAL-CGBR improves temporal action localization by feeding classification semantics into boundary regression, achieving 68.5 percent average ...
Researchers have unveiled DBRA-Net, a dual-branch residual attention network that achieves highly accurate image retrieval over encrypted cloud data while ...
Researchers have unveiled a quantum-fuzzy framework that uses frequency domain analysis to outperform leading detectors at spotting small objects in ...
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© 2025 Scienmag - Science Magazine