Synthetic Aperture Radar (SAR) enables the acquisition of high-resolution imagery even
under severe meteorological and illumination conditions. Its utility is evident across a …

Sea surface temperature anomalies (SSTAs) and sea surface height anomalies (SSHAs) are
indispensable parts of scientific research, such as mesoscale eddy, current, ocean …

In recent years, convolutional neural network (CNN) and transformer, as mainstream
classification methods, have made good progress in improving the classification …

Local and sparse attention effectively reduce the high computational cost of global self-
attention. However, they suffer from non-global dependency and coarse feature capturing …

Currently, most tactile-based object recognition algorithms focus on single shape or texture
recognition. However, these single attribute-based recognition methods perform poorly …

Improving the segmentation accuracy of small objects is essential for tasks such as autono-
mous driving and remote sensing. However, the current main semantic segmentation …

With the rapid development of road transportation, pavement damage detection becomes
very important. In this study, a pavement damage detection method based on UAV images is …

Query-based Transformers have been yielding impressive results in object detection. The
potential of DETR-like methods for 3D data, especially in volumetric medical imaging …

In visual tracking tasks, complex and frequent scale changes have a significant impact on
accurately estimating the object bounding box. Mainstream full-transformer trackers lack the …