Few Shot Open Set Object Detection
2 papers with code • 1 benchmarks • 2 datasets
MS COCO
MSCOCO
Most implemented papers
Towards Generalized Few-Shot Open-Set Object Detection
binyisu/food
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In this paper, we seek a solution for the generalized few-shot open-set object detection (G-FOOD), which aims to avoid detecting unknown classes as known classes with a high confidence score while maintaining the performance of few-shot detection.
HSIC-based Moving WeightAveraging for Few-Shot Open-Set Object Detection
binyisu/food
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MM '23: Proceedings of the 31st ACM International Conference on Multimedia 2023
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.
