87 citations · 162 across the 18 of their papers we have counts for
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cs.CV2018
NeuroTreeNet: A New Method to Explore Horizontal Expansion Network
Shenlong Lou, Yan Luo, Qiancong Fan +4
It is widely recognized that the deeper networks or networks with more feature maps have better performance. Existing studies mainly focus on extending the network depth and increa…
cs.CV2018★ 1 cited
Geometric Multi-Model Fitting by Deep Reinforcement Learning
Zongliang Zhang, Hongbin Zeng, Jonathan Li +3
This paper deals with the geometric multi-model fitting from noisy, unstructured point set data (e.g., laser scanned point clouds). We formulate multi-model fitting problem as a se…