26 citations · 42 across the 2 of their papers we have counts for
3 papers
cs.CV2020
Self-supervised Learning of Point Clouds via Orientation Estimation
Omid Poursaeed, Tianxing Jiang, Han Qiao +2
Point clouds provide a compact and efficient representation of 3D shapes. While deep neural networks have achieved impressive results on point cloud learning tasks, they require ma…
cs.CV2020★ 16 cited
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
Yichi Zhang, Ritchie Zhao, Weizhe Hua +3
We propose precision gating (PG), an end-to-end trainable dynamic dual-precision quantization technique for deep neural networks. PG computes most features in a low precision and o…
cs.CV2018★ 26 cited
Autonomous Driving in Reality with Reinforcement Learning and Image Translation
Nayun Xu, Bowen Tan, Bingyu Kong
Supervised learning is widely used in training autonomous driving vehicle. However, it is trained with large amount of supervised labeled data. Reinforcement learning can be traine…