CrossTransformers

2000년 도입 · 논문 3편에서 사용

CrossTransformers is a Transformer-based neural network architecture which can take a small number of labeled images and an unlabeled query, find coarse spatial correspondence between the query and the labeled images, and then infer class membership by computing distances between spatially-corresponding features.

출처: CrossTransformers: spatially-aware few-shot transfer

소개 논문: CrossTransformers: spatially-aware few-shot transfer