29 citations · 43 across the 17 of their papers we have counts for
6 papers · 1 filter
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification
Cuong V. Nguyen, Khiem H. Le, Anh M. Tran +2
Transfer learning plays an essential role in Deep Learning, which can remarkably improve the performance of the target domain, whose training data is not sufficient. Our work explo…
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator
Cuong V. Nguyen, Tien-Dung Cao, Tram Truong-Huu +2
Generative Adversarial Networks (GANs) have emerged as useful generative models, which are capable of implicitly learning data distributions of arbitrarily complex dimensions. Howe…
Leaf Recognition Using Convolutional Neural Networks Based Features
Boi M. Quach, Dinh V. Cuong, Nhung Pham +2
There is a warning light for the loss of plant habitats worldwide that entails concerted efforts to conserve plant biodiversity. Thus, plant species classification is of crucial im…
An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models
Hieu T. Ung, Huy Q. Ung, Binh T. Nguyen
Accurate insect pest recognition is significant to protect the crop or take the early treatment on the infected yield, and it helps reduce the loss for the agriculture economy. Des…
A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval
Manh-Duy Nguyen, Binh T. Nguyen, Cathal Gurrin
Conventional approaches to image-text retrieval mainly focus on indexing visual objects appearing in pictures but ignore the interactions between these objects. Such objects occurr…
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection
Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu +4
Existing skin attributes detection methods usually initialize with a pre-trained Imagenet network and then fine-tune on a medical target task. However, we argue that such approache…