mlsanityData to 7 Oct 2026

SketchEmbedNet: Learning Novel Concepts by Imitating Drawings

arXiv 2009.04806 ↗First posted 27 Aug 2020cs.CV cs.LG cs.NEcited by 18

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Abstract (arXiv)

Sketch drawings capture the salient information of visual concepts. Previous work has shown that neural networks are capable of producing sketches of natural objects drawn from a small number of classes. While earlier approaches focus on generation quality or retrieval, we explore properties of image representations learned by training a model to produce sketches of images. We show that this generative, class-agnostic model produces informative embeddings of images from novel examples, classes, and even novel datasets in a few-shot setting. Additionally, we find that these learned representations exhibit interesting structure and compositionality.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Aug 2020.

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Citing papers per year: 2021: 4; 2022: 3; 2023: 6; 2024: 3; 2025: 2.

18 papers.

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  1. 2022Learning to generate line drawings that convey geometry and semanticscited by 82
  2. 2023Picture that Sketch: Photorealistic Image Generation from Abstract Sketchescited by 34
  3. 2022Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketchescited by 23
  4. 2023Sketch2Saliency: Learning to Detect Salient Objects from Human Drawingscited by 17
  5. 2021Cloud2Curve: Generation and Vectorization of Parametric Sketchescited by 16
  6. 2021Emergent Graphical Conventions in a Visual Communication Gamecited by 16
  7. 2023SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstractioncited by 14
  8. 2024SketchINR: A First Look into Sketches as Implicit Neural Representationscited by 13
  9. 2023SketchXAI: A First Look at Explainability for Human Sketchescited by 10
  10. 2024FlipSketch: Flipping Static Drawings to Text-Guided Sketch Animationscited by 8
  11. 2023Emergent Communication in Interactive Sketch Question Answeringcited by 3
  12. 2024Do Generalised Classifiers really work on Human Drawn Sketches?cited by 2
6 more
  1. 2021NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generationcited by 1
  2. 2021A Relational Model for One-Shot Classificationcited by 0
  3. 2022Character Generation through Self-Supervised Vectorizationcited by 0
  4. 2023Shape Guided Gradient Voting for Domain Generalizationcited by 0
  5. 2025Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detectioncited by 0
  6. 2025Annotation-Free Human Sketch Quality Assessmentcited by 0