2 papers
cs.CV2026
Balancing Uncertainty and Diversity of Samples: Leveraging Diversity of Least, High Confidence Samples for Effective Active Learning
Vipul Arya, S. H. Shabbeer Basha, Srikrishna U N +2
Deep learning models, including Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), have achieved state-of-the-art performance on various computer vision tasks suc…
cs.CV2026
Are Candidate Models Really Needed for Active Learning?
Harshini Mridula Mohan, Maanya Manjunath, Vipul Arya +2
Deep learning has profoundly impacted domains such as computer vision and natural language processing by uncovering complex patterns in vast datasets. However, the reliance on exte…