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[NIPS2018 笔记] delta encoder: an effective sample synthesis method for few shot object recognition
时间 2021-01-04
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NIPS 2018
小样本学习
自编码器
样本生成
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Δ \Delta Δ-ENCODER:一种有效的样本合成方法,用于小样本识别 Delta Encoder: An Effective Sample Synthesis Method for Few Shot Object Recognition 本文亮点:少数样本,能生成1024个目标类样本。 Abstract Δ \Delta Δ-ENCODER:学习仅基于一个或几个示例对新类别进行分类是现代计
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相关文章
1.
论文阅读笔记《∆-encoder: an effective sample synthesis method for few-shot object recognition》
2.
【论文理解】A Self-supervised GAN for Unsupervised Few-shot Object Recognition
3.
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4.
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5.
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6.
《Siamese Neural Networks for One-shot Image Recognition》笔记
7.
[FSOD][笔记]Context-Transformer: Tackling Object Confusion for Few-Shot Detection(AAAI 2020)
8.
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9.
Segmentation As Selective Search for Object Recognition
10.
【PaddlePaddle论文复现】Few-shot Video-to-Video Synthesis论文笔记
>>更多相关文章<<