Feb 24, 2020 · Multi-dataset training is leveraged to incorporate unexpected small obstacle detection, enriching the recognizable classes required to face ...
Feb 24, 2020 · Multi-dataset training is leveraged to incorporate unexpected small obstacle detection, enriching the recognizable classes required to face ...
RFNet: Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection of Road-driving Images. This repository is a Pytorch ...
Jul 21, 2020 · For these reasons, it is desirable to develop a semantic segmentation based method incorporating pixel-wise unexpected obstacle detection.
Multi- dataset training is leveraged to incorporate unexpected small obstacle detection, enriching the recognizable classes required to face unforeseen hazards ...
Jul 10, 2020 · Multi-dataset training is leveraged to incorporate unexpected small obstacle detection, enriching the recognizable classes required to face ...
An improved lightweight real-time semantic segmentation network is proposed, which is based on an efficient image cascading network (ICNet) architecture, ...
Jun 27, 2020 · Multi-dataset training is leveraged to incorporate unexpected small obstacle detection, enriching the recognizable classes required to face ...
Real-Time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-Driving Images ; Author: L. Sun, K. Yang, X. Hu, W.
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