We investigate the problem of fine-grained sketch-based image retrieval (SBIR), where free-
hand human sketches are used as queries to perform instance-level retrieval of images. This …

The problem of fine-grained sketch-based image retrieval (FG-SBIR) is defined and
investigated in this paper. In FG-SBIR, free-hand human sketch images are used as queries …

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 …

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 …

The recent focus on Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) has shifted
towards generalising a model to new categories without any training data from them. In real …

Fine-grained sketch-based image retrieval (FG-SBIR) addresses the problem of retrieving a
particular photo instance given a user's query sketch. Its widespread applicability is however …

Sketch as an image search query is an ideal alternative to text in capturing the fine-grained
visual details. Prior successes on fine-grained sketch-based image retrieval (FG-SBIR) have …

A fundamental challenge faced by existing Fine-Grained Sketch-Based Image Retrieval (FG-
SBIR) models is the data scarcity--model performances are largely bottlenecked by the lack …

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 …

The key challenge for learning a fine-grained sketch-based image retrieval (FG-SBIR) model
is to bridge the domain gap between photo and sketch. Existing models learn a deep joint …