Zero-shot object classification aims to recognize the object of unseen classes whose
supervised data are unavailable in the training stage. Recent zero-shot learning (ZSL) …

Since the start of the Sentinel-1 (S-1) mission, numerous cases of severe image degradation
caused by radio frequency interference (RFI) have been reported, which puts forward an …

Fine-grained visual categorization (FGVC) presents a notable challenge owing to the high
intra-class variance and minimal inter-class variability. In multi-stage FGVC tasks, the initial …

摘要目前小样本学习模型主要关注在小样本类别上的性能, 却忽视了在辅助集上的性能.
针对此问题, 提出一种基于注意力机制和知识蒸馏的小样本增量学习模型 …

Fine-grained visual classification (FGVC) is a challenging but realistic problem that
recognizes objects from common categories with subtle differences. Most previous work …

Zero-shot learning (ZSL) is a challenging but practical task in the computer vision field. ZSL
tries to recognize new unknown categories by provided with training data from other known …

Proximity graphs have been studied for several decades, motivated by applications in
computational geometry, geography, data mining, and many other fields. However, the …

Proximity graphs are induced by sets of points in the plane or higher-dimensional structures.
Such graphs describe which sets of points are close to one another and which are not …