46 citations · 74 across the 6 of their papers we have counts for
4 papers · 1 filter
Local and Global Context-and-Object-part-Aware Superpixel-based Data Augmentation for Deep Visual Recognition
Fadi Dornaika, Danyang Sun
Cutmix-based data augmentation, which uses a cut-and-paste strategy, has shown remarkable generalization capabilities in deep learning. However, existing methods primarily consider…
HSMix: Hard and Soft Mixing Data Augmentation for Medical Image Segmentation
Danyang Sun, Fadi Dornaika, Nagore Barrena
Due to the high cost of annotation or the rarity of some diseases, medical image segmentation is often limited by data scarcity and the resulting overfitting problem. Self-supervis…
Comprehensive Benchmarking of YOLOv11 Architectures for Scalable and Granular Peripheral Blood Cell Detection
Mohamad Abou Ali, Mariam Abdulfattah, Baraah Al Hussein +4
Manual peripheral blood smear (PBS) analysis is labor intensive and subjective. While deep learning offers a promising alternative, a systematic evaluation of state of the art mode…
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
Fares Bougourzi, Fadi Dornaika, Chongsheng Zhang
Text recognition in the wild is an important technique for digital maps and urban scene understanding, in which the natural resembling properties between glyphs is one of the major…