TY - JOUR
AU1 - Yin, Zhijian
AU2 - Xu, Lei
AU3 - Yu, Hanqing
AU4 - Yang, Zhen
AB - A data enhancement method for object detection is proposed to address the problem that there are few data enhancement means for target detection. This method has obvious advantages for small targets and scenarios where the target background is lacking. It is also a method to solve the problem of small and unbalanced samples. In this paper, the object is subtracted from the bounding box, and after processing, it is fused into a new image using various image classification improvement means such as random brightness, random contrast, random rotation, random cropping, etc. Using mixup-like fusion methods, and XIOU is proposed to guarantee the t intersection ratio of the target synthesis during synthesis. An improvement of 2% is obtained on yolov3 over the VOC dataset.
TI - Data enhancement method for object detection
JF - Journal of Physics: Conference Series
DO - 10.1088/1742-6596/2209/1/012027
DA - 2022-02-01
UR - https://www.deepdyve.com/lp/iop-publishing/data-enhancement-method-for-object-detection-lg20ISaleP
VL - 2209
IS - 1
DP - DeepDyve
ER -