AI RESEARCH
RandMark: On Random Watermarking of Visual Foundation Models
arXiv CS.AI
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ArXi:2603.10695v1 Announce Type: cross Being trained on large and diverse datasets, visual foundation models (VFMs) can be fine-tuned to achieve remarkable performance and efficiency in various downstream computer vision tasks. The high computational cost of data collection and