4 papers
Progressive Local Filter Pruning for Image Retrieval Acceleration
Xiaodong Wang, Zhedong Zheng, Yang He +3
This paper focuses on network pruning for image retrieval acceleration. Prevailing image retrieval works target at the discriminative feature learning, while little attention is pa…
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He, Ping Liu, Ziwei Wang +2
Previous works utilized ''smaller-norm-less-important'' criterion to prune filters with smaller norm values in a convolutional neural network. In this paper, we analyze this norm-b…
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He, Guoliang Kang, Xuanyi Dong +2
This paper proposed a Soft Filter Pruning (SFP) method to accelerate the inference procedure of deep Convolutional Neural Networks (CNNs). Specifically, the proposed SFP enables th…
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Yang He, Xuanyi Dong, Guoliang Kang +3
Deeper and wider Convolutional Neural Networks (CNNs) achieve superior performance but bring expensive computation cost. Accelerating such over-parameterized neural network has rec…