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 …

Recent studies show that large-scale sketch-based image retrieval (SBIR) can be efficiently
tackled by cross-modal binary representation learning methods, where Hamming distance …

Due to the succinct nature of free-hand sketch drawings, sketch-based image retrieval
(SBIR) has abundant practical use cases in consumer electronics. However, SBIR remains a …

We propose a deep hashing framework for sketch retrieval that, for the first time, works on a
multi-million scale human sketch dataset. Leveraging on this large dataset, we explore a few …

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 …

Abstract Fine-grained Sketch-based Image Retrieval (FG-SBIR), which utilizes hand-drawn
sketches to search the target object images, has recently drawn much attention. It is a …

Human sketches are unique in being able to capture both the spatial topology of a visual
object, as well as its subtle appearance details. Fine-grained sketch-based image retrieval …

Sketching enables many exciting applications, notably, image retrieval. The fear-to-sketch
problem (ie," I can't sketch") has however proven to be fatal for its widespread adoption. This …

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 …

Fine-grained sketch-based image retrieval (FG-SBIR) addresses matching specific photo
instance using free-hand sketch as a query modality. Existing models aim to learn an …