… representative local positions and using weighted bilinear coding for more … Deep network
architectures for sketch-based image retrieval (SBIR) employing convolutional neural networks …

… [13] Tu Bui, Leonardo Ribeiro, Moacir Ponti, John Collomosse: Sketching out the details:
Sketch-based image retrieval using convolutional neural networks with multi-stage regression: …

… generative model for the sketch-based image retrieval task in a … the multistage model is fed
to the Siamese-Network(SN) [4] … Further, using Siamese Network[4], we project the generated …

… sketch-based image retrieval (SBIR) finds the natural images … The retrieval results are
generally similar in contour, however… , J., “Sketch-based image retrieval via siamese convolutional …

… of neural nets to construct a Siamese framework [10] for fine tuning of the features on the latent
space using … algorithm called Holistically Nested Convolutional Neural Nets (HCN) [34] to …

… Sketch-based image retrieval (SBIR) is an image retrieval task that takes a sketch as input
and outputs colour images … It utilises complicated deep neural networks and yields remarkable …

… So far, we know that siamese architectures alongside a triplet loss have shown the best …
Sketching out the details: Sketch-based image retrieval using convolutional neural networks with …

… propose a novel sketch based image retrieval method based on adversarial network. Our
method … comparison was made with the deep neural network method Siamese CNN. To further …

… the category information brought by convolutional neural network (CNN) classification as …
Liu, “Sketch-based image retrieval via Siamese convolutional neural network,” in Proc. IEEE …

… We learnt Siamese convolutional neural networks for the purpose of transforming the two
domains’ raw characteristics into nonlinear feature space, which mitigates the discrepancy of …