In the evolving landscape of open-source language models, SmolLM3 emerges as a breakthrough: a 3 billion-parameter, decoder-only transformer that rivals larger 4 billion-parameter peers on many ...
Zero-shot anomaly detection (ZSAD) is a vital problem in computer vision, particularly in real-world scenarios where labeled anomalies are scarce or unavailable. Traditional vision-language models ...
SigLIP-2 represents a significant step forward in the development of multilingual vision-language encoders, bringing enhanced semantic understanding, localization, and dense feature extraction ...
Traditional Optical Character Recognition (OCR) systems are primarily designed to extract plain text from scanned documents or images. While useful, such systems often ignore semantic structure, ...
Imagine trying to teach a toddler a new skill, like stacking blocks to build a tower. You’d show them, maybe guide their little hands, and explain, "This one goes on top." After a few tries, they ...
To develop AI systems that are genuinely capable in real-world settings, we need models that can process and integrate both visual and textual information with high precision. This is the focus of ...
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