MOOZY is a foundation model for computational pathology that treats the patient case, not the individual slide, as the fundamental unit of representation. It encodes one or more whole-slide images ...
Hallucination is one of the most critical obstacles to reliably deploying Large Vision-Language Models (LVLMs): the model produces fluent, confident text that is factually inconsistent with what is ...
Abstract: The present portable communication devices need high speed data transmission to support different interfaces and display technologies. These communication devices transmit data between ...
Summary: Meta’s Fundamental AI Research team has unveiled TRIBE, a groundbreaking foundation model designed to predict how the human brain processes visual and auditory stimuli. Trained on massive ...
Abstract: In deep learning-based dehazing strategies, attention mechanisms are widely used to refine feature representations and improve overall performance. However, conventional contextual attention ...
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