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20192022
most citedA Feature-map Discriminant Perspective for Pruning Deep Neural Networks

2 citations · 4 across the 3 of their papers we have counts for

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cs.CV2022★ 2 cited

CHEX: CHannel EXploration for CNN Model Compression

Zejiang Hou, Minghai Qin, Fei Sun +7

Channel pruning has been broadly recognized as an effective technique to reduce the computation and memory cost of deep convolutional neural networks. However, conventional pruning…

cs.CV2021

Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis

Zejiang Hou, Sun-Yuan Kung

We study the few-shot learning (FSL) problem, where a model learns to recognize new objects with extremely few labeled training data per category. Most of previous FSL approaches r…