103 citations · 103 across the 3 of their papers we have counts for
7 papers · 1 filter
Evaluating the Efficacy of Sentinel-2 versus Aerial Imagery in Serrated Tussock Classification
Rezwana Sultana, Manzur Murshed, Kathryn Sheffield +3
Invasive species pose major global threats to ecosystems and agriculture. Serrated tussock (\textit{Nassella trichotoma}) is a highly competitive invasive grass species that disrup…
Hyperspectral Imaging-Based Grain Quality Assessment With Limited Labelled Data
Priyabrata Karmakar, Manzur Murshed, Shyh Wei Teng
Recently hyperspectral imaging (HSI)-based grain quality assessment has gained research attention. However, unlike other imaging modalities, HSI data lacks sufficient labelled samp…
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…