A Review of Uncertainty Calibration in Pretrained Object Detectors

1 code implementation • 6 Oct 2022 • Denis Huseljic, Marek Herde, Mehmet Muejde, Bernhard Sick

In the field of deep learning based computer vision, the development of deep object detection has led to unique paradigms (e. g., two-stage or set-based) and architectures (e. g., Faster-RCNN or DETR) which enable outstanding performance on challenging benchmark datasets.

Object object-detection +1