Defect detection is crucial in ensuring the quality of steel products. This paper proposes a
novel deep neural network, cascaded adaptive global location network (CAGLNet), for …

Suspended foreign objects on transmission lines will shorten the discharge distance, easily
leading to phase-to-ground or phase-to-phase short circuits, which induces outage …

Multi-Object Tracking (MOT) is a crucial computer vision task that aims to predict the
bounding boxes and identities of objects simultaneously. While state-of-the-art methods …

Over the past few years, aviation security has turned into a vital domain as foreign object
debris (FOD) on the airport paved path possesses an enormous possible threat to airplanes …

Weakly supervised semantic segmentation (WSSS), which aims to mine the object regions
by merely using class-level labels, is a challenging task in computer vision. The current state …

Oceanic environmental monitoring is critical to environmental protection. As a core
technique, Oceanic Scene Element Detection (OSED) plays an important role. Existing …