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Found 1 papers, 1 papers with code
HSIC-based Moving WeightAveraging for Few-Shot Open-Set Object Detection
We study the problem of few-shot open-set object detection (FOOD), whose goal is to quickly adapt a model to a small set of labeled samples and reject unknown class samples.
Ranked #1 on
Few Shot Open Set Object Detection
on MSCOCO
(using extra training data)
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