742 citations · 742 across the 2 of their papers we have counts for
2 papers
cs.CV2021
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Rui Peng, Ronggang Wang, Yawen Lai +2
Self-supervised methods play an increasingly important role in monocular depth estimation due to their great potential and low annotation cost. To close the gap with supervised met…
cs.NE2016★ 742 cited
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu, Rui Peng, Yu-Wing Tai +1
State-of-the-art neural networks are getting deeper and wider. While their performance increases with the increasing number of layers and neurons, it is crucial to design an effici…