Before revision:  In this paper, we utilize a linearized attention function to overcome above problems and build a novel architecture , named Content-Augmented Feature Pyramid Network (CA-FPN) , which proposes a global content extraction module and deeply combines with FPN through light linear transformers.
After revision:  In this paper, to simulate a global view of human vision in object detection and address the inherent defects of interaction mode in FPN, we construct a novel architecture , named Content-Augmented Feature Pyramid Network (CA-FPN) , which proposes a global content extraction module and deeply combines with FPN through light linear transformers.