Merging Attention Gates with CSP Blocks for Enhanced Feature Selection in YOLOv26

1. Technical Rationale Within convolutional neural networks for object detection, treating all feature channels equally can limit model expressiveness. An attention gate mechanism provides a dynamic way to recalibrate feature importance, allowing the network to focus on salient channels and suppress less informative ones. This work integrates a ...

Publicado em 7-5 07:24