Abstract: To enhance the precision and efficiency of petrographic thin section image classification and reduce the subjectivity resulting from manual classification methods, a new classification model ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Abstract: The main challenge for Few-Shot Fine-Grained (FSFG) image classification is to learn discriminative feature representations with few labeled samples. In response to this challenge, ...