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Sparse R-CNN - End-to-End Object Detection With Learnable Proposals.

CVPR, pp.14454-14463, (2021)

EI

We present Sparse R-CNN, a purely sparse method for object detection in images. Existing works on object detection heavily rely on dense object candidates, such as $k$ anchor boxes pre-defined on all grids of image feature map of size $H\times W$. In our method, however, a fixed sparse set of learned object proposals, total length of \$N...更多

Peize Sun
Rufeng Zhang
Yi Jiang

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