Poseur: Direct Human Pose Regression with Transformers. (arXiv:2201.07412v1 [cs.CV])

We propose a direct, regression-based approach to 2D human pose estimation
from single images. We formulate the problem as a sequence prediction task,
which we solve using a Transformer network. This network directly learns a
regression mapping from images to the keypoint coordinates, without resorting
to intermediate representations such as heatmaps. This approach avoids much of
the complexity associated with heatmap-based approaches. To overcome the
feature misalignment issues of previous regression-based methods, we propose an
attention mechanism that adaptively attends …

arxiv cv human regression transformers