Few Shot Object Detection Based on Graph Attention Network
Author:
Affiliation:
1. Zhejiang University of Control Science and Engineering,State Key Laboratory of Industrial Control Technology,Zhejiang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10347562/10348177/10348234.pdf?arnumber=10348234
Reference25 articles.
1. Faster r-cnn: Towards real-time object detection with region proposal networks;Ren;Advances in neural information processing systems,2015
2. Es-maml: Simple hessian-free meta learning;Song;arXiv preprint arXiv:1910.01215,2019
3. Prototypical networks for few-shot learning;Snell;Advances in neural information processing systems,2017
4. LSTD: A Low-Shot Transfer Detector for Object Detection
5. An Adaptive Weighted Pearson Similarity Measurement Method for Load Curve Clustering
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