most citedAnti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 4 cited

Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function

Md Tahmid Hossain, Shyh Wei Teng, Ferdous Sohel +1

Deep convolutional networks are vulnerable to image translation or shift, partly due to common down-sampling layers, e.g., max-pooling and strided convolution. These operations vio…

cs.CV2018

Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform

Md Tahmid Hossain, Shyh Wei Teng, Dengsheng Zhang +2

Convolutional Neural Network is good at image classification. However, it is found to be vulnerable to image quality degradation. Even a small amount of distortion such as noise or…