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Cross-Dimensional Refined Learning for Real-Time 3D Visual Perception from Monocular Video
We present a novel real-time capable learning method that jointly perceives a 3D scene's geometry structure and semantic labels.
Efficient Training Convolutional Neural Networks on Edge Devices with Gradient-pruned Sign-symmetric Feedback Alignment
With the prosperity of mobile devices, the distributed learning approach enabling model training with decentralized data has attracted wide research.
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