… Junge Shen received the B.Sc. degree in electronic engineering and the Ph.… Junge Shen.
His research interests include computer vision and deep learning, specifically for remote sense …

Travel recommendation systems can tackle the problem of information overload and
recommend proper attractions on the basis of users׳ preferences. Most existing travel …

Remote sensing images contain complex backgrounds and multi-scale objects, which pose
a challenging task for scene classification. The performance is highly dependent on the …

As marine observation technology develops rapidly, underwater optical image object detection
is beginning to occupy an important role in many tasks, such as naval coastal defense …

In the letter, we propose a novel yet effective knowledge distillation scheme which mimics
an all-round learning process of an excellent student from the teacher, ie, knowledge review, …

Highway surface segmentation consists of extracting road surface at pixel-level from the
surveillance camera view. Since the intelligent traffic event detection task does not require the …

Online learning has become one of the most important learning styles, yet with the need of
supervisors to consistently keep the learners motivated and on-task. Some learners could be …

Remote sensing image scene classification is an important task of remote sensing image
interpretation, which has recently been well addressed by the convolutional neural network …

Timely and accurate pavement crack detection plays a crucial role in urban transportation
and pavement management. Recently, deep learning-based pavement crack detection …

Underwater optical image object detection plays a crucial role in fields such as ocean exploration.
However, constructing a comprehensive annotated dataset for training is challenging, …