Abstract: In this brief, a variable-precision approximate floating-point multiplier is proposed for energy efficient deep learning computation. The proposed architecture supports approximate ...
Abstract: Learning-based point cloud compression technology based on voxel structure has made significant progress in recent years. However, these methods have to train multiple models for different ...
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