Sketch-Based Image Retrieval

36 papers with code • 3 benchmarks • 4 datasets

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Most implemented papers

Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval

AnjanDutta/sem-pcyc CVPR 2019

Existing works either require aligned sketch-image pairs or inefficient memory fusion layer for mapping the visual information to a semantic space.

Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval

qliu24/SAKE ICCV 2019

Sketch-based image retrieval (SBIR) is widely recognized as an important vision problem which implies a wide range of real-world applications.

Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval

sounakdey/doodle2search CVPR 2019

Highly abstract amateur human sketches are purposefully sourced to maximize the domain gap, instead of ones included in existing datasets that can often be semi-photorealistic.

Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach

XiSHEN0220/WatermarkReco 27 Aug 2019

Historical watermark recognition is a highly practical, yet unsolved challenge for archivists and historians.

Unsupervised Sketch-to-Photo Synthesis

samaonline/3D-Shape-Reconstruction-from-Free-Hand-Sketches 18 Sep 2019

Humans can envision a realistic photo given a free-hand sketch that is not only spatially imprecise and geometrically distorted but also without colors and visual details.

Sketchformer: Transformer-based Representation for Sketched Structure

leosampaio/sketchformer CVPR 2020

Sketchformer is a novel transformer-based representation for encoding free-hand sketches input in a vector form, i. e. as a sequence of strokes.

Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval

AyanKumarBhunia/on-the-fly-FGSBIR 24 Feb 2020

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

Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval

AyanKumarBhunia/on-the-fly-FGSBIR CVPR 2020

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

Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval

aneeshan95/Cross-modal_Hierarchy_FGSBIR 29 Jul 2020

In this paper, we study a further trait of sketches that has been overlooked to date, that is, they are hierarchical in terms of the levels of detail -- a person typically sketches up to various extents of detail to depict an object.