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Johns Hopkins University
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Top-performing models in automated pathology rely on structured representations and hierarchical diagnostics, not just vision-language models alone.
X$^2$Localizer boosts single-frame retrieval performance by over 4% while maintaining full-video accuracy, bridging the gap between evaluation benchmarks and real-world applications.
Adversarial techniques traditionally seen as threats are now being repurposed by content owners to proactively safeguard their visual assets from misuse.
