Mangamma Choppara

LCANet: A Lightweight Faster R-CNN Framework with Selective P2 Coordinate Attention for Tiny Object Detection in Aerial Images

Accurate detection of tiny objects in aerial images remains a challenging problem in remote sensing due to extreme scale variations, complex backgrounds, dense object distributions, and the limited spatial representation of small targets. Although modern deep learning-based object detectors achieve remarkable detection...