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University of Information Technology
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Achieving a staggering 95.41% mAP@10, FaLCon revolutionizes text-based person anomaly search by combining global semantic matching with fine-grained verification to tackle the Sim2Real challenge.
Forget manual image inputs: LLandMark uses Gemini 2.5 Flash to autonomously detect landmarks in videos and generate image search queries for enhanced multimodal retrieval.
