FEATURE TRANSFORMATION NETWORK FOR FEW-SHOT LEARNING

Feature Transformation Network for Few-Shot Learning

Few-shot learning researches to learn a novel concept from a handful of labeled samples.Due to the small amount of training data, deep network has the risk of over-fitting.Although many previous approaches based on metric criterion can make significant progress to tackle this challenge, they Pot Holder not only ignore the association between query

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A novel method for Pu-erh tea face traceability identification based on improved MobileNetV3 and triplet loss

Abstract Concealers Ensuring the traceability of Pu-erh tea products is crucial in the production and sale of tea, as it is a key means to ensure their quality and safety.The common approach used in traceability systems is the utilization of bound Quick Response (QR) codes or Near Field Communication (NFC) chips to track every link in the supply ch

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