Proposes Spatial Group Convolution to accelerate 3D semantic scene completion networks via grouped sparse operations, reporting state-of-the-art accuracy and speed on SUNCG.
In: Advances in neural information processing systems
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2019 2verdicts
UNVERDICTED 2representative citing papers
A two-stage CNN model generates multi-scale gaze direction fields before regressing gaze heatmaps and introduces a new video dataset annotated by in-scene observers, outperforming prior methods.
citing papers explorer
-
Efficient Semantic Scene Completion Network with Spatial Group Convolution
Proposes Spatial Group Convolution to accelerate 3D semantic scene completion networks via grouped sparse operations, reporting state-of-the-art accuracy and speed on SUNCG.
-
Believe It or Not, We Know What You Are Looking at!
A two-stage CNN model generates multi-scale gaze direction fields before regressing gaze heatmaps and introduces a new video dataset annotated by in-scene observers, outperforming prior methods.