Search papers, labs, and topics across Lattice.
Hefei University of Technology
3
0
4
PEAK slashes sensitive content detections from 582 to just 6 while maintaining high-quality image generation, revolutionizing concept erasure in diffusion models.
CloudLULC-Net achieves 86.60% accuracy in LULC mapping, even under challenging cloud conditions, setting a new standard for SAR-optical fusion.
Cross-Modal Pseudo-Labeling boosts micro-gesture recognition performance, bridging the gap between subjects and enhancing model robustness.
