Image matching plays a vital role in many computer vision tasks, and this paper focuses on
the mismatch removal problem of feature-based matching. We formulate the problem into a …

Feature matching aims to identify reliable correspondences between two sets of given initial
feature points, which is of considerable importance to photogrammetry and computer vision …

In this paper, we propose a Joint Representation Attention Network (JRA-Net), an end-to-
end network, to establish reliable correspondences for image pairs. The initial …

Proficiency in problem-solving techniques is essential for engineers across various
disciplines. Achieving a successful answer to a specific problem in sciences often …

Feature matching, which refers to determining reliable correspondences between two sets of
feature points, is a fundamental component of numerous visual tasks. This paper proposes a …

Feature matching is used to build correspondences between features in the model and test
images. As the extension of graph matching, hypergraph matching is able to encode rich …

Seeking feature correspondences among two or more images is an important problem in
computer vision and image processing. The putative matches constructed by the similarity of …

Although cross-validation (CV) is a standard technique in machine learning and data
science, its efficacy remains largely unexplored in ranking environments. When evaluating …

Optimizing overall classification accuracy in neural networks does not always yield the best
top-k accuracy, a critical metric in many real-world applications. This discrepancy is …

In recent years, researchers have made significant strides in computer vision by leveraging
transformers, achieving remarkable breakthroughs in low-level vision tasks. The inherent …