3 papers
cs.CV2024
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation
Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran +1
The enhanced representational power and broad applicability of deep learning models have attracted significant interest from the research community in recent years. However, these…
cs.CV2024
CLEAR: Cross-Transformers with Pre-trained Language Model is All you need for Person Attribute Recognition and Retrieval
Doanh C. Bui, Thinh V. Le, Ba Hung Ngo +1
Person attribute recognition and attribute-based retrieval are two core human-centric tasks. In the recognition task, the challenge is specifying attributes depending on a person's…
cs.CV2024
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen +2
Most domain adaptation (DA) methods are based on either a convolutional neural networks (CNNs) or a vision transformers (ViTs). They align the distribution differences between doma…