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Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages
時間 2021-01-12
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目標檢測
單步檢測
Tiny-DSOD
輕量化模型
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Y uxi Li1 [email protected] Jiuwei Li2 [email protected] Weiyao Lin1 [email protected] Jianguo Li2 [email protected] 1Shanghai Jiao Tong University , China 2Intel Lab China Abstract 近年來,隨着深度學習的發展,目標檢測
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相關文章
1.
論文閱讀:Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages
2.
深度網絡推理加速(Towards Lightweight Convolutional Neural Networks for Object Detection)
3.
論文閱讀--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
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PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
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論文筆記: PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
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PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection - arxiv 2016.08
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【目標檢測】PVANET:Deep but Lightweight Neural Networks for Real-time Object Detection
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