Sketch-Based Image Retrieval
36 papers with code • 3 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Sketch-Based Image Retrieval
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Chairs
Quick, Draw! Dataset
ShoeV2
QuickDraw-Extended
Latest papers
Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval
ayankumarbhunia/stroke_subset_selector-for-fgsbir
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CVPR 2022
We first conducted a pilot study that revealed the secret lies in the existence of noisy strokes, but not so much of the "I can't sketch".
Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval
By combining two fundamental learning approaches in DML, e. g., classification training and pairwise training, we set up a strong baseline for ZS-SBIR.
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval
wdr123/darp-sbir
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Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) aims at finding a specific image from a large gallery given a query sketch.
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval
haowang1992/DSN
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Most existing methods regard ZS-SBIR as a traditional classification problem and employ a cross-entropy or triplet-based loss to achieve retrieval, which neglect the problems of the domain gap between sketches and natural images and the large intra-class diversity in sketches.
Compositional Sketch Search
We present an algorithm for searching image collections using free-hand sketches that describe the appearance and relative positions of multiple objects.
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
AyanKumarBhunia/semisupervised-FGSBIR
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CVPR 2021
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 of sketch-photo pairs.
Variational Interaction Information Maximization for Cross-domain Disentanglement
Grounded in information theory, we cast the simultaneous learning of domain-invariant and domain-specific representations as a joint objective of multiple information constraints, which does not require adversarial training or gradient reversal layers.
Sketch-Guided Object Localization in Natural Images
IISCAditayTripathi/SketchGuidedLocalization
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ECCV 2020
We refer to this problem as sketch-guided object localization.
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval
aneeshan95/Cross-modal_Hierarchy_FGSBIR
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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 Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval
AyanKumarBhunia/on-the-fly-FGSBIR
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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.
