Collecting full annotations to construct multi-label datasets is difficult and labor-consuming. As an effective solution to relieve the annotation burden, single positive multi-label learning (SPML) ...

Abstract: Cities have been growing ever larger especially in the most recent decades. As neighborhoods and boundaries of cities are expanding, the resident-service related problems within these cities ...

Abstract: To address the shortcomings of traditional deep learning applications for multi-label satellite image classification, this work shifts focus toward lightweight Vision Transformers (ViTs) ...

One of the key discussions was how films led by women are still categorised differently. Rani made it clear that she believes the label is outdated. "It's a label that we should stop using, and I ...