3 citations · 5 across the 10 of their papers we have counts for
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cs.CV2026
TriLite: Efficient Weakly Supervised Object Localization with Universal Visual Features and Tri-Region Disentanglement
Arian Sabaghi, José Oramas
Weakly supervised object localization (WSOL) aims to localize target objects in images using only image-level labels. Despite recent progress, many approaches still rely on multi-s…
cs.CV2024★ 2 cited
Enhancing Hyperspectral Image Prediction with Contrastive Learning in Low-Label Regime
Salma Haidar, José Oramas
Self-supervised contrastive learning is an effective approach for addressing the challenge of limited labelled data. This study builds upon the previously established two-stage pat…