A Multi-task and Multi-scale Convolutional Neural Networks for Automatic Recognition of Woven Fabric Pattern

The project adopted a wireless device and established a fabric images dataset with elaborated structure parameters. Presented a multi-task and multi-scale convolutional neural network (MTMSnet) to recognize the fabric density, weaving pattern, reaching under 2% and 10% error respectively.