4 accepted papers
Adaptive Compressive Sensing (ACS) has attracted increasing attention for its ability to progressively improve image reconstruction quality by dynamically adjusting sampling allocation. Multi-stage sampling is a promising strategy that leverages intermediate reconstructions to guide sampling without…
Cross-modal Visual Geo-localization often aims to retrieve a satellite visible-light image of the same geographic lo cation from a large-scale database using an infrared image cap tured by an unmanned aerial vehicle (UAV), thereby achieving precise localization. This capability is crucial for autono…
In the field of medical image analysis, accurate classification of images is crucial for diagnosing diseases and formulating treatment plans. Many studies have shown that global features and local features help reduce noise interference in medical images. Due to the fixed receptive field size of the…
The advancement of object detection algorithms has catalyzed the development of object-level semantic SLAM. However, due to missed and false detections, object-level semantic SLAM fails to represent the objects within the scene adequately. Therefore, this paper proposes a novel object-level semantic…