Cross Domain Descriptor for Sketch Based Image Retrieval using Siamese network
Veena A. Kumar, K. S. Rajesh, M. Wilscy · 2019
Sketch based image retrieval (SBIR) is a methodology in which the system can recognize an image and retrieve from the database, given an input query sketch. Socio economic importance and relevance of Sketch based image retrieval systems are high as the users of touch screen based devices are rapidly increasing even in remote areas. The main challenge of this task is that sketches contain only an abstract visual information compared to images. The proposed method uses Siamese CNN for the implementation of SBIR. Siamese CNN joins two convolutional neural networks with one loss function. The transfer learning approach is implemented to learn the feature space of both sketch input query and the images. The VGG19 pre-trained model is used to obtain feature descriptors of sketches and images. The dataset Sketchy Database containing 75,471 sketches of 125 categories is used. The results obtained shows that proposed method gives better performance compared to the similar methods.