137 citations · 156 across the 4 of their papers we have counts for
4 papers
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
Qiufu Li, Linlin Shen, Sheng Guo +1
Though widely used in image classification, convolutional neural networks (CNNs) are prone to noise interruptions, i.e. the CNN output can be drastically changed by small image noi…
Neuron segmentation using 3D wavelet integrated encoder-decoder network
Qiufu Li, Linlin Shen
Motivation: 3D neuron segmentation is a key step for the neuron digital reconstruction, which is essential for exploring brain circuits and understanding brain functions. However,…
WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation
Qiufu Li, Linlin Shen
In deep networks, the lost data details significantly degrade the performances of image segmentation. In this paper, we propose to apply Discrete Wavelet Transform (DWT) to extract…
Wavelet Integrated CNNs for Noise-Robust Image Classification
Qiufu Li, Linlin Shen, Sheng Guo +1
Convolutional Neural Networks (CNNs) are generally prone to noise interruptions, i.e., small image noise can cause drastic changes in the output. To suppress the noise effect to th…