FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution.
IEEE International Conference on Robotics and Automation（2020）
Key words
feature space superresolution,FarSee-Net,real time semantic segmentation,cascaded factorized atrous spatial pyramid pooling,feature maps,convolutional neural networks,multiscale context aggregation,object scale variations,robotic applications,subsampled image
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