we propose a coding scheme for the deep intermediate feature and it is implemented with the collaborative compression of image texture. More specifically, we separately compress the feature and texture of the image to form two data layers. The first one is the intermediate feature layer and the second one is the texture layer. The texture layer can provide an image for users and the feature layer can be used to implement the computer vision (CV) task. With our proposed deep reconstruction network (RecNet), the texture and features cooperate to achieve a high-quality visual output as well as a high-efficiency CV task. The experimental results demonstrate the excellent performance by using our proposed method to compress the deep features.