Recently, deep convolutional neural networks show good effect for single image deraining. These networks always adopt the conventional convolution method to extractfeatures, which may neglect the characteristic of rain streak.A novelty vertical module is proposed to focus on the verticalcharacteristic of rain streak. Such module uses 1 x Xconvolution kernel to extract the vertical information of rainstreaks and a X x X convolution kernel to keep relative locationinformation. Use this module in the front of derainingnetwork can better detach rain streaks from background. Inaddition, the contrastive learning is employed to improve theperformance of the model. Extensive experimental resultsdemonstrated the superiority of the deraining methods withthe proposed methods in comparison with the base ones.