Abstract: Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class ...

Abstract: Image fusion aims to combine the complementary features of different modalities to produce an informative fused image. Due to the different imaging mechanisms, information conflicts may ...