2 papers
cs.CV2024
Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data Regimes
Dmitry Demidov, Abduragim Shtanchaev, Mihail Mihaylov +1
The emerging task of fine-grained image classification in low-data regimes assumes the presence of low inter-class variance and large intra-class variation along with a highly limi…
cs.CV2024
Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes
Dmitry Demidov, Roba Al Majzoub, Amandeep Kumar +1
Multi-class colorectal tissue classification is a challenging problem that is typically addressed in a setting, where it is assumed that ample amounts of training data is available…