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 …

This paper advances the fine-grained sketch-based image retrieval (FG-SBIR) literature by
putting forward a strong baseline that overshoots prior state-of-the art by 11%. This is not via …

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 …

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 …

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 …

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 …

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 …

In this paper, we investigate the task of Fine-grained Sketch-based Image Retrieval (FG-
SBIR), which uses hand-drawn sketches as input queries to retrieve the relevant images at …

ImageNet pre-training has long been considered crucial by the fine-grained sketch-based
image retrieval (FG-SBIR) community due to the lack of large sketch-photo paired datasets …