Few Shot Open Set Object Detection
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Benchmarks
MSCOCO
결과 1개
Most implemented
Towards Generalized Few-Shot Open-Set Object Detection
2022-10-28 · 구현 2개
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
2024-06-26 · 구현 1개
HSIC-based Moving WeightAveraging for Few-Shot Open-Set Object Detection
2023-10-27 · 구현 1개
Papers
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
2024-06-26
· Zhaowei Wu, Binyi Su, Qichuan Geng, Hua Zhang 외
Few-shot Open-set Object Detection (FOOD) poses a challenge in many open-world scenarios. It aims to train an open-set detector to detect known objects while rejecting unknowns with scarce training samples. Existing FOOD…
Few Shot Open Set Object Detectionobject-detectionObject DetectionPrompt LearningHSIC-based Moving WeightAveraging for Few-Shot Open-Set Object Detection
2023-10-27 · MM '23: Proceedings of the 31st ACM International Conference on Multimedia 2023 10
· Binyi Su; Hua Zhang; Zhong Zhou
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. Recent works usually use the weight sparsifica…
Few Shot Open Set Object Detectionobject-detectionObject DetectionTowards Generalized Few-Shot Open-Set Object Detection
2022-10-28
· Binyi Su, Hua Zhang, Jingzhi Li, Zhong Zhou
Open-set object detection (OSOD) aims to detect the known categories and reject unknown objects in a dynamic world, which has achieved significant attention. However, previous approaches only consider this problem in dat…
Few Shot Open Set Object DetectionObjectobject-detectionObject Detection