103 citations · 118 across the 4 of their papers we have counts for
7 papers · 1 filter
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…
Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning
Tasfia Shermin, Shyh Wei Teng, Ferdous Sohel +2
Bidirectional mapping-based generalized zero-shot learning (GZSL) methods rely on the quality of synthesized features to recognize seen and unseen data. Therefore, learning a joint…
Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation
Tasfia Shermin, Guojun Lu, Shyh Wei Teng +2
Domain adaptation aims to transfer knowledge from a domain with adequate labeled samples to a domain with scarce labeled samples. Prior research has introduced various open set dom…
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Tasfia Shermin, Shyh Wei Teng, Manzur Murshed +3
Parameter fine tuning is a transfer learning approach whereby learned parameters from pre-trained source network are transferred to the target network followed by fine-tuning. Prio…
Transfer Learning Using Classification Layer Features of CNN
Tasfia Shermin, Manzur Murshed, Guojun Lu +1
Although CNNs have gained the ability to transfer learned knowledge from source task to target task by virtue of large annotated datasets but consume huge processing time to fine-t…
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…