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Class Representative Learning Model
The CRL model is based on class-level classifiers, built class-by-class, that would be a representative of instances of a specific class by utilizing activation features of... -
Image classification in frequency domain with 2SReLU
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function -
Stanford Dogs
Fine-Grained Visual Classification (FGVC) is an important computer vision prob-lem that involves small diversity within the different classes, and often requires expert...