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: 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 Rani made it clear that she believes the label is outdated.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 ...
Abstract: In present days, Multi Label Text Classification (MLTC) has become an important research area in Natural Language Processing (NLP). Existing models of MLTC have been facing domain ...
Matt Damon has claimed that Netflix pushes directors to reiterate the plot for viewers who are watching while on their phones. The actor has just released new action film The Rip on the streaming ...
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