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City University of Hong Kong
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VL-DINO outperforms existing models in zero-shot object detection by effectively integrating vision-language knowledge, achieving a remarkable 38.1 AP on the LVIS benchmark.
ReasonAlloc reallocates KV cache resources in real-time, achieving superior reasoning efficiency with minimal overhead.
