103 citations · 103 across the 2 of their papers we have counts for
5 papers
Integrated Generalized Zero-Shot Learning for Fine-Grained Classification
Tasfia Shermin, Shyh Wei Teng, Ferdous Sohel +2
Embedding learning (EL) and feature synthesizing (FS) are two of the popular categories of fine-grained GZSL methods. EL or FS using global features cannot discriminate fine detail…
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…