We present the Sketchy database, the first large-scale collection of sketch-photo pairs. We
ask crowd workers to sketch particular photographic objects sampled from 125 categories …

Free-hand sketch-based image retrieval (SBIR) is a specific cross-view retrieval task, in
which queries are abstract and ambiguous sketches while the retrieval database is formed …

Sketch-based image retrieval (SBIR) is the task of retrieving images from a natural image
database that correspond to a given hand-drawn sketch. Ideally, an SBIR model should …

In this paper we investigate image generation guided by hand sketch. When the input sketch
is badly drawn, the output of common image-to-image translation follows the input edges …

We introduce an approach for sketch classification based on Fisher vectors that significantly
outperforms existing techniques. For the TU-Berlin sketch benchmark [Eitz et al. 2012a], our …

In this study, we present a weakly supervised approach that discovers the discriminative
structures of sketch images, given pairs of sketch images and web images. In contrast to …

We cast shape matching as metric learning with convolutional networks. We break the end-
to-end process of image representation into two parts. Firstly, well established efficient …

Sketch has been employed as an effective communication tool to express the abstract and
intuitive meaning of object. While content-based sketch recognition has been studied for …

The paper presents a sketch-based image retrieval algorithm. One of the main challenges in
sketch-based image retrieval (SBIR) is to measure the similarity between a sketch and an …

We introduce a new approach for segmentation and label transfer in sketches that
substantially improves the state of the art. We build on successful techniques to find how …