1 citations · 1 across the 4 of their papers we have counts for
5 papers
An Effective Approach for Multi-label Classification with Missing Labels
Xin Zhang, Rabab Abdelfattah, Yuqi Song +1
Compared with multi-class classification, multi-label classification that contains more than one class is more suitable in real life scenarios. Obtaining fully labeled high-quality…
Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image
Xin Zhang, Rabab Abdelfattah, Yuqi Song +2
Depth information is the foundation of perception, essential for autonomous driving, robotics, and other source-constrained applications. Promptly obtaining accurate and efficient…
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
Rabab Abdelfattah, Xin Zhang, Mostafa M. Fouda +2
Multi-label image classification aims to predict all possible labels in an image. It is usually formulated as a partial-label learning problem, since it could be expensive in pract…
PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images
Rabab Abdelfattah, Xiaofeng Wang, Song Wang
Accurate segmentation of power lines in various aerial images is very important for UAV flight safety. The complex background and very thin structures of power lines, however, make…
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines
Rabab Abdelfattah, Xiaofeng Wang, Song Wang
Accurate detection and segmentation of transmission towers~(TTs) and power lines~(PLs) from aerial images plays a key role in protecting power-grid security and low-altitude UAV sa…