The goal of correspondence pruning is to recognize correct correspondences (inliers) from
initial ones, with applications to various feature matching based tasks. Seeking neighbors in …

3-D object detection is a vital part of outdoor scene perception. Learning the complete size
and accurate positioning of objects from an incomplete point cloud spatial structure is …

With the continuous advancement of remote sensing (RS) technology, RS ship detection
plays a crucial role in ensuring maritime safety and the oceanic economy, but it also faces …

Real-time object detection plays a crucial role in edge devices applications. Pruning
methods are usually used to effectively eliminate redundant parameters of the object …

Building high-quality correspondences is critical in the feature-based point cloud registration
pipelines. However, existing single-sequence learning frameworks are difficult to accurately …

Local feature matching enjoys wide-ranging applications in the realm of computer vision,
encompassing domains such as image retrieval, 3D reconstruction, and object recognition …

Correspondence pruning has recently drawn considerable attention as a crucial step in
image matching. Existing methods typically achieve this by constructing neighborhoods for …

Synthetic aperture radar (SAR) is a vital tool for ship detection, as it acquires high-resolution
remote sensing images when optical images cannot penetrate. However, two primary …

Robust model fitting is a critical technique for artificial intelligence. The performance of most
robust model fitting techniques heavily depends on the use of sampling algorithms. In this …

Seeking reliable correspondences between two scenes is crucial for solving feature-based
point cloud registration tasks. In this paper, we propose a novel outlier rejection network …