most citedCF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 3 cited

CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset

Qiqi Ding, Peng Li, Xuefeng Yan +6

Snow is one of the toughest adverse weather conditions for object detection (OD). Currently, not only there is a lack of snowy OD datasets to train cutting-edge detectors, but also…