We show that Transformer Encoders can aggregate and extract task-informative latent representations for learning both single- and multi- scene camera pose ...

Apr 22, 2023 · We show that Transformer Encoders can aggregate and extract task-informative latent representations for learning both single- and multi- scene camera pose ...

Mar 21, 2021 · In this work, we propose to learn multi-scene absolute camera pose regression with Transformers, where encoders are used to aggregate activation maps with self ...

Dec 31, 2023 · Transformer encoders can aggregate task-informative latent representations. We show how to learn both single- and multi- scene camera pose regression.

Jul 9, 2024 · In this work, we show that Transformer Encoders can aggregate and extract task-informative latent representations for learning both single- and ...

In this work, we show that Transformer Encoders can aggregate and extract task-informative latent representations for learning both single- and multi- scene ...

Nowadays, transformer-based model has been devised to regress the camera pose directly in multi-scenes. Despite its potential, transformer encoders are ...

Learning Single and Multi-Scene Camera Pose with Transformer Encoders · CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via ...

Our approach is shown to achieve new SOTA accuracy for both multi-scene and single-scene APRs across contemporary outdoor and indoor localization bench- marks.

Aug 22, 2023 · In this work, we propose to learn multi-scene absolute camera pose regression with Transformers, where encoders are used to aggregate activation maps with self ...