DeCoF: Tiny Object Detection in Aerial Remote Sensing Imagery via Detail-Retentive Downsampling and Conflict-Aware Fusion
Aerial object detection has witnessed remarkable progress, yet detecting tiny objects in remote sensing imagery remains highly challenging due to their extremely limited spatial footprints. Hierarchical feature processing pipelines tend to exacerbate this problem, as their standard spatial downsampling operators discar...