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* ***Airport Fees and Surcharges***: *Facility charges, etc.*
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* **Hard Negative Mining:** This technique involves selecting pairs of images that are difficult to classify as dissimilar. These are often images that are visually similar but belong to different classes. By focusing on these hard negative examples, you can force the network to learn more discriminative features.
