Before revision: Recently, plenty of work has tried to introduce transformers into computer vision tasks, with good results. Unlike classic convolution networks, which extract features within a local receptive field, transformers can adaptively aggregate similar features from a global view using self-attention mechanism. For object detection, Feature Pyramid Network (FPN) proposes feature interaction across layers and proves its extremely importance .
After revision: As one of the prevalent components, Feature Pyramid Network (FPN) proposes feature interaction across layers and proves its extremely importance .