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Knowledge-augmented Few-shot Visual Relation Detection
Inspired by this, we devise a knowledge-augmented, few-shot VRD framework leveraging both textual knowledge and visual relation knowledge to improve the generalization ability of few-shot VRD.
Kernel Estimation of Spot Volatility with Microstructure Noise Using Pre-Averaging
We prove a Central Limit Theorem for the estimation error with an optimal rate and study the optimal selection of the bandwidth and kernel functions.
Knowledge forest: a novel model to organize knowledge fragments
Facet trees can organize knowledge fragments with facet hyponymy to alleviate information overload.
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