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論文閱讀--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
時間 2020-12-30
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爲什麼80%的碼農都做不了架構師?>>> 論文地址:https://arxiv.org/abs/1608.08021 算法實現:https://github.com/CharlesShang/TFFRCNN 網絡設計原則: 「less channels with more layers」 。 網絡性能:83.8% mAP (mean average precision) on VOC2007
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1.
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
2.
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection - arxiv 2016.08
3.
論文筆記: PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
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論文閱讀:Deep Neural Networks for Object Detection
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【PVANet】《PVANET:Deep but Lightweight Neural Networks for Real-time Object Detection》
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