Ke-Lei Sun

OGSA-YOLO: Omni-directional Gated Spatial-Attention Network for Conveyor Belt Monitoring in Complex Environments

SMDS-Net: aerial object detection method based on adaptive multi-scale feature fusion and semantically guided detail preservation

Experimental results on public benchmark datasets demonstrate that the proposed SMDS-Net achieves highly competitive detection accuracy while significantly reducing the number of model parameters and theoretical computational complexity.

Pseudolabel Comprehensive Filtering and Edge Refinement for Semisupervised Instance Segmentation in Remote Sensing Imagery

Instance segmentation of remote sensing images enables simultaneous target differentiation and pixel-level classification, boasting broad applications in urban planning, military reconnaissance, and marine monitoring. However, existing methods often exhibit strong label dependency, and acquiring large-scale, fine-grain...