SqueezeSeg network has good performance in terms of accuracy and calculation speed on point cloud segmentation. However, potential details might be lost during ...
SqueezeSeg network has good performance in terms of accuracy and calculation speed on point cloud segmentation. However, potential details might be lost during ...
An Enhanced SqueezeNet Based Network for Real-Time Road-Object Segmentation. Chao Li, Xian Wei, Hui Yu, Jielong Guo, Xuan Tang, Yuxuan Zhang.
An enhanced squeezenet based network for real-time road-object segmentation. C Li, X Wei, H Yu, J Guo, X Tang, Y Zhang. 2019 IEEE Symposium Series on ...
An enhanced squeezenet based network for real-time road-object segmentation. C Li, X Wei, H Yu, J Guo, X Tang, Y Zhang.
Feb 22, 2022 · The proposed network structure is based on the light-weight network SqueezeNet, which is small enough to be stored directly in the embedded ...
Missing: Enhanced | Show results with:Enhanced
Oct 19, 2017 · In this paper, we address semantic segmentation of road-objects from 3D LiDAR point clouds. In particular, we wish to detect and categorize instances of ...
Missing: Enhanced SqueezeNet
Real-time road object segmentation using improved light-weight convolutional neural network based on 3D LiDAR point cloud.
Missing: Enhanced | Show results with:Enhanced
An Enhanced SqueezeNet Based Network for Real-. Time Road-Object Segmentation. Chao Li, Xian Wei, Hui Yu, and Jielong Guo. Quanzhou Institute of Equipment ...
The experimental results show that the RobNet model proposed in this paper can segment the target in the road scene better. The segmentation callback rate of ...
Missing: Enhanced | Show results with:Enhanced