基于改进DenseNet的水果小目标检测
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徐利锋,黄海帆,丁维龙,范玉雷
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Detection of small fruit target based on improved DenseNet
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Li-feng XU,Hai-fan HUANG,Wei-long DING,Yu-lei FAN
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表 1 目标检测网络参数 |
Tab.1 Parameters for object detection network |
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Dense | 网络层 | 通道数 | 参数 | 输出尺寸/像素 | 阶段1 | Conv | 16 | 3×3/1 | 512×512 | Pool | 16 | 2×2/2 | 256×256 | Conv | 32 | 3×3/1 | 256×256 | Pool | 32 | 2×2/2 | 128×128 | Dense Block | 32 | 1×1/1 Conv | 128×128 | 16 | 3×3/1 Conv | 128×128 | 阶段2 | Conv | 64 | 3×3/1 | 128×128 | Pool | 64 | 2×2/2 | 64×64 | Dense Block | 64 | 1×1/1 Conv | 64×64 | 32 | 3×3/1 Conv | 64×64 | 阶段3 | Conv | 128 | 3×3/1 | 64×64 | Pool | 128 | 2×2/2 | 32×32 | Dense Block | 128 | 1×1/1 Conv | 32×32 | 64 | 3×3/1 Conv | 32×32 | 阶段4 | Conv | 256 | 3×3/1 | 32×32 | Pool | 256 | 2×2/2 | 16×16 | Dense Block | 256 | 1×1/1 Conv | 16×16 | 128 | 3×3/1 Conv | 16×16 | Conv | 512 | 3×3/1 | 16×16 | Pool | 512 | 2×2/1 | 16×16 | Conv | 1024 | 3×3/1 | 16×16 | Conv | 30 | 1×1/1 | 16×16 |
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