2 papers
cs.CV2019
An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition
Kuan-Hui Lee, Takaaki Tagawa, Jia-En M. Pan +2
Vehicle taillight recognition is an important application for automated driving, especially for intent prediction of ado vehicles and trajectory planning of the ego vehicle. In thi…
cs.CV2018
Learning to Fuse Things and Stuff
Jie Li, Allan Raventos, Arjun Bhargava +2
We propose an end-to-end learning approach for panoptic segmentation, a novel task unifying instance (things) and semantic (stuff) segmentation. Our model, TASCNet, uses feature ma…