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Found 2 papers, 1 papers with code
Salient Mask-Guided Vision Transformer for Fine-Grained Classification
Fine-grained visual classification (FGVC) is a challenging computer vision problem, where the task is to automatically recognise objects from subordinate categories.
Pairwise Learning via Stagewise Training in Proximal Setting
Recent research has, however, offered adaptive sample size training for smooth loss functions as a better strategy in terms of convergence and complexity, but without a comprehensive theoretical study.
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