SCAResNet: A Backbone Network Optimized for Tiny Object Detection in Transmission and Distribution Towers

SCAResNet, a backbone network designed for tiny object detection, eliminates the conventional resizing operation during data preprocessing to preserve valuable information for tiny objects like distribution towers. It employs Positional-Encoding Multi-head Criss-Cross Attention to capture rich contextual features and SPPRCSP to unify feature maps of different sizes and scales, enabling efficient propagation without compromising accuracy.