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Hi,
Thanks for your open source work!
But I have some doubts about the main differences between GKT and BEVFormer, except for the different selection of regions around the prior positions.
The text was updated successfully, but these errors were encountered:
Sorry for the late reply.
GKT's kernel region is with fixed integer pixel coordinate and can be pre-computed.
BEVFormer predicts offsets to sample points, similar to deformable-DETR. It's sampling positions are floating-point and dynamic.
Hi,
Thanks for your open source work!
But I have some doubts about the main differences between GKT and BEVFormer, except for the different selection of regions around the prior positions.
The text was updated successfully, but these errors were encountered: