# Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning

@article{Yan2019MetaRT,
title={Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning},
author={Xiaopeng Yan and Ziliang Chen and Anni Xu and Xiaoxi Wang and Xiaodan Liang and Liang Lin},
journal={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
year={2019},
pages={9576-9585}
}
• Xiaopeng Yan, +3 authors Liang Lin
• Published 2019
• Computer Science
• 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Resembling the rapid learning capability of human, low-shot learning empowers vision systems to understand new concepts by training with few samples. [...] Key Method Specifically, we introduce a Predictor-head Remodeling Network (PRN) that shares its main backbone with Faster /Mask R-CNN. PRN receives images containing low-shot objects with their bounding boxes or masks to infer their class attentive vectors.Expand
82 Citations

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