guanfuchen

Fully Convolutional Networks for Semantic Segmentation

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FCN32s-ResNet18 

Multi-Scale Context Aggregation by Dilated Convolutions

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related paper |摘要| |---| |State-of-the-art models for semantic segmentation are based on adaptations of convolutional networks that had originally been designed for image classification. However, dense prediction problems such as...

The UAVid Dataset for Video Semantic Segmentation

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related paper |摘要| |---| |Video semantic segmentation has been one of the research focus in computer vision recently. It serves as a perception foundation for many fields such as robotics...

Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation

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related paper |摘要| |---| |Real-time semantic segmentation plays an important role in practical applications such as self-driving and robots. Most research working on semantic segmentation focuses on accuracy with little...

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

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related paper |摘要| |---| |We focus on the challenging task of realtime semantic segmentation in this paper. It finds many practical applications and yet is with fundamental difficulty of reducing...

add scripts for different models performance comparing, maybe like below |GPU|cuDNN|Forward (ms)|Backward (ms)|Total (ms)| |---|---|---:|---:|---:| |XXX|XXX|XXX|XXX|XXX| |GTX 1080 Ti|XXX|XXX|XXX|XXX| |CPU: Dual Xeon E5-2630 v3|XXX|XXX|XXX|XXX|

  



空洞卷积的分解视角  通过分解视角建立group联系的方法一  通过分解视角建立group联系的方法二