Search Results for author:
Found 3 papers, 1 papers with code
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
Recently, many deep learning methods have shown great success in providing promising solutions to many event-based problems, such as optical flow estimation.
CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation
In this paper, we propose a network injected with contextual information (CI-Net) to solve the problem.
Ranked #33 on
Semantic Segmentation
on SUN-RGBD
(using extra training data)
Knowledge Transfer via Student-Teacher Collaboration
One way to compress these heavy models is knowledge transfer (KT), in which a light student network is trained through absorbing the knowledge from a powerful teacher network.
