Abstract: Deep learning approaches have demonstrated high effectiveness in 3D object detection tasks. However, they often suffer from a notable drop in performance on the previously trained classes ...
Surprisingly, the C-Class is slightly wider when excluding mirrors, but the E-Class is wider with the mirrors in their usual position. In all other key dimensions, the E-Class is larger, especially ...
Abstract: 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 ...
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