Abstract: Human-Object Interaction (HOI) detection, as a foundational task in human-centric understanding, aims to detect interactive triplets in real-world scenarios. To better distinguish diverse ...
Challenge: The interpretation and analysis of Magnetic Resonance Imaging scans in clinical AI systems rely on accurate understanding of image contrast. While contrast is determined by acquisition ...
CM3P (Contrastive Metadata-Map Masked Pre-training) is a multi-modal representation learning framework for osu! beatmaps. It learns high-quality embeddings for both beatmap structure (events, timing, ...
Abstract: Pre-trained vision models (PVMs) are fundamental to modern robotics, yet their optimal configuration remains unclear. Through systematic evaluation, we find that while DINO and iBOT ...
Discover the 10 biggest data breach fines and settlements of 2025. Explore GDPR penalties, global privacy regulations, and how billion-dollar enforcement actions impact cybersecurity and compliance ...
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