Feature drift is caused by the dynamic coupling of target features and degradation factors, which reduce underwater detector performance. We redefine feature drift as the instability of target ...

Background Learnable Cascade for Zero-Shot Object Detection. ACCV 2020. [paper] [code] Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman Khan, Syed Waqas Zamir, Fahad Shahbaz Khan. Synthesizing the ...

Results of Class-agnostic Object Detection of MViTS including our proposed Multiscale Attention ViT with Late fusion (MAVL) model, applications, and exploratory analysis. Class-agnostic Object ...

Detecting objects in remote sensing images (RSIs) is essential for various applications, from urban planning to disaster response. However, current deep learning models often struggle due to their ...