GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection

Few-shot object detection (FSOD) aims to achieve object detection only using a few novel class training data. Most of the existing methods usually adopt a transfer-learning strategy to construct the novel class distribution by transferring the base class knowledge. However, this direct way easily re...

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Hauptverfasser: Mei, Hefei, Zhao, Taijin, Tang, Shiyuan, Qiu, Heqian, Wang, Lanxiao, Zhang, Minjian, Meng, Fanman, Li, Hongliang
Format: Artikel
Sprache:eng
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