UAV tracking plays a crucial role in computer vision by enabling real-time monitoring UAVs,
enhancing safety and operational capabilities while expanding the potential applications of …

This paper presents a comprehensive review of state-of-the-art motion capture techniques
for digital human modeling in sports, including traditional optical motion capture systems …

Fine-grained single-label classification tasks aim to distinguish highly similar categories but
often overlook inter-category relationships. Hierarchical multi-granularity visual classification …

With the rapid development of computer graphics and 3D computer vision, the field of
reconstructing 3D geometric shapes from sketches has quickly seen an influx of innovative …

Semi-supervised learning (SSL) methods show their powerful performance in dealing with
the issue of data shortage in the field of medical image segmentation. However, most …

Deep metric-based center loss has been widely used to enhance inter-class separability
and intra-class compactness of network features and achieved promising results in facial …

Due to light absorption and scattering in the ocean, underwater images suffer from blur and
color bias, and the colors tend to be biased towards blue or green. To enhance underwater …

Single image colorization is an inherently ill-posed problem that has attracted more research
interest recently. It challenges to learn a luminance-chroma mapping and manage multi …

This review provides an overview of eXplainable AI (XAI) methods for oncological
ultrasound image analysis and compares their performance evaluations. A systematic …

Efficient medical image segmentation plays an important role in computer-aided diagnosis
(CAD). Deep mining of pixel semantics is crucial for medical image segmentation. However …