Figure 3: The diagram of the proposed progressive end-to-end object detection framework. First, the prediction selector
select queries associated with high confidence scores as accepted queries, leaving the rest as noisy queries. Then Relation
information extractor models the relations between noisy queries and their neighbors from accepted predictions. Next, the
queries are fed into the queries updater to be further refined by performing a new local self-attention.