AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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We introduce VideoMSN, a Masked Siamese Network framework for efficient self-supervised spatio-temporal representation learning in videos. Instead of relying on heavy 3D architectures or reconstruction-based autoencoders for learning with unlabeled data, we repurpose standard image Vision Transformers by representing v...
DynEval, a Dynamic Evaluation framework designed to jointly assess text-to-image alignment and image quality of T2I models, is introduced and a compact evaluator achieves a higher overall correlation with human judgments.
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