ENet: A deep neural network architecture for real-time semantic segmentation
ENet: A deep neural network architecture for real-time semantic segmentation Abstract: 18x faster,75x less flops,79x less param 卷积Param: 0.37m 模型参数： 0.7m 卷积参数和模型参数是不一样的 1.Introduction 为了减少内核调用和唇齿操作，作者
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相关文章
- 1. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation笔记
- 2. 【阅读笔记】《ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation》
- 3. 论文阅读：ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- 4. 《ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation》论文笔记
- 5. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- 6. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation----2016年 论文翻译解读
- 7. 【图像分割论文阅读】ENet：A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- 8. 【SegNet】 A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- 9. Deep Convolutional Neural Network Architecture
- 10. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation