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Found 5 papers, 1 papers with code
Efficient and Scalable Chinese Vector Font Generation via Component Composition
In this work, we first observe that most Chinese characters can be disassembled into frequently-reused components.
$α$ DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling
Differentiable architecture search (DARTS) has been a mainstream direction in automatic machine learning.
Ranked #10 on
Neural Architecture Search
on NAS-Bench-201, CIFAR-100
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions
Knowledge distillation facilitates the training of a compact student network by using a deep teacher one.
Distilling Image Classifiers in Object Detectors
Knowledge distillation constitutes a simple yet effective way to improve the performance of a compact student network by exploiting the knowledge of a more powerful teacher.
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
As evidenced by our experiments, our approach outperforms both training the compact network from scratch and performing knowledge distillation from a teacher.
