Abstract: The complex traffic conditions and high traffic flow are big challenges to the perception of autonomous vehicles. As the basis of environmental perception technology, object detection based ...
Abstract: The labeling cost of large number of bounding boxes is one of the main challenges for training modern object detectors. To reduce the dependence on expensive bounding box annotations, we ...
This is the implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'. The aim is to improve the cross-domain robustness of object detection, in the ...
This repository is written by Zhaowei Cai at UC San Diego, on the base of Detectron @ e8942c8. This repository re-implements Cascade R-CNN on the base of Detectron. Very consistent gains are available ...
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