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Generalization Gap in Data Augmentation: Insights from Illumination
In the field of computer vision, data augmentation is widely used to enrich the feature complexity of training datasets with deep learning techniques.
Staged Depthwise Correlation and Feature Fusion for Siamese Object Tracking
In this work, we propose a novel staged depthwise correlation and feature fusion network, named DCFFNet, to further optimize the feature extraction for visual tracking.
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