Search papers, labs, and topics across Lattice.
Shandong Women鈥檚 University
5
0
7
Teachability in representation learning boosts 2D-3D matching robustness, achieving state-of-the-art results even in challenging conditions.
SwinSleepNet outperforms traditional models by effectively capturing both intra-epoch microstructures and inter-epoch dependencies, leading to significant improvements in sleep stage classification accuracy.
LGFNet achieves significant accuracy improvements in sleep staging, particularly in challenging transition segments, outperforming existing methods by notable margins.
Surface accuracy metrics can mislead researchers about the true reliability of multimodal search systems, with silent failures lurking beneath the surface.
Reusing verified debugging records, MechMem-RTL resolves 62.5% of complex RTL errors, outperforming existing methods that rely on text similarity.
