Integrating HCANet's Convolution-Attention Fusion Module into YOLOv8 for Small Object Detection
The Hybrid Convolution and Attention Network (HCANet) introduced a Convolution and Attention Fusion Module (CAFM) that jointly models local features via convolutions and global context via self‑attention. This design is particular beneficial for detecting small objects, where fine spatial details and long‑range dependencies both matter. In this ...
Posted on Wed, 09 Sep 2026 16:54:23 +0000 by runestation