Sketch-Based Image Retrieval
36 papers with code • 3 benchmarks • 4 datasets
Most implemented papers
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
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
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
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
Historical watermark recognition is a highly practical, yet unsolved challenge for archivists and historians.
Unsupervised Sketch-to-Photo Synthesis
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
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
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
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
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.
Sketch-Guided Object Localization in Natural Images
We refer to this problem as sketch-guided object localization.