4 papers
Cross-polarization pairing for label-free few-shot thin-section classification
Bingchen Yan
Few-shot classifiers of rock thin sections are meta-trained on many rock types that a petrographer has identified slide by slide, and this identification is the costly step that ne…
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning
Bingchen Yan
Few-shot image classification is a challenging task in the field of machine learning, involving the identification of new categories using a limited number of labeled samples. In r…
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules
Bingchen Yan
Few-shot classification involves identifying new categories using a limited number of labeled samples. Current few-shot classification methods based on local descriptors primarily…
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning
Maofa Wang, Bingchen Yan
Few-shot image classification has emerged as a key challenge in the field of computer vision, highlighting the capability to rapidly adapt to new tasks with minimal labeled data. E…