Infrared few-shot object detection (IFSOD) aims to detect infrared objects with limited labeled examples. Current infrared datasets, however, suffer from limited diversity in object types and classes, ...

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 ...

Few-shot object detection (FSOD) has attracted significant research attention in remote sensing due to its potential to reduce reliance on large annotated datasets. However, two challenges remain in ...

PACO is a detection dataset that goes beyond traditional object boxes and masks and provides richer annotations such as part masks and attributes. It spans 75 object categories, 456 object-part ...