2022

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

Liu, Shilong, Li, Feng, Zhang, Hao et al.

Understand

We present in this paper a novel query formulation using dynamic anchor boxes for DETR (DEtection TRansformer) and offer a deeper understanding of the role of queries in DETR.

  • This new formulation directly uses box coordinates as queries in Transformer decoders and dynamically updates them layer-by-layer.
  • Using box coordinates not only helps using explicit positional priors to improve the query-to-feature similarity and eliminate the slow training convergence issue in DETR, but also allows us to modulate the positional attention map using the box width and height information.
  • Such a design makes it clear that queries in DETR can be implemented as performing soft ROI pooling layer-by-layer in a cascade manner.

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