Domain Adaptive Faster R-CNN for Object Detection in the Wild

Object detection typically assumes that training and test data are drawn from an identical distribution, which, however, does not always hold in practice. Such a distribution mismatch will lead to a significant performance drop... (read more)

PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Unsupervised Domain Adaptation Cityscapes to Foggy Cityscapes DA-Faster [email protected] 26.1 # 5
Image-to-Image Translation Cityscapes-to-Foggy Cityscapes FRCNN in the wild mAP 27.6 # 3

Methods used in the Paper