Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings
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Abstract (arXiv)
Human sketch has already proved its worth in various visual understanding tasks (e.g., retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of sketches - that they are also salient. This is intuitive as sketching is a natural attentive process at its core. More specifically, we aim to study how sketches can be used as a weak label to detect salient objects present in an image. To this end, we propose a novel method that emphasises on how "salient object" could be explained by hand-drawn sketches. To accomplish this, we introduce a photo-to-sketch generation model that aims to generate sequential sketch coordinates corresponding to a given visual photo through a 2D attention mechanism. Attention maps accumulated across the time steps give rise to salient regions in the process. Extensive quantitative and qualitative experiments prove our hypothesis and delineate how our sketch-based saliency detection model gives a competitive performance compared to the state-of-the-art.
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 58 of its 91 references that are in the map. First posted on arXiv 20 Mar 2023.
Builds on
58 of 91 references.
References · 58
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38 more
- 2017Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approachcited by 201
- 2014The Secrets of Salient Object Segmentationcited by 200
- 2015Visual Saliency Based on Multiscale Deep Featurescited by 185
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- 2014Salient Object Detection: A Discriminative Regional Feature Integration Approachcited by 89
- 2020Sketchformer: Transformer-based Representation for Sketched Structurecited by 78
- 2018A Zero-Shot Framework for Sketch-based Image Retrievalcited by 70
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- 2019Interactive Sketch & Fill: Multiclass Sketch-to-Image Translationcited by 51
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- 2018Learning to Sketch with Shortcut Cycle Consistencycited by 47
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- 2020Creative Sketch Generationcited by 44
- 2018Zero-Shot Sketch-Image Hashingcited by 43
- 2019Multi-source weak supervision for saliency detectioncited by 43
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50 most cited of 58 All 58 (JSON)
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Citing papers per year: 2023: 3; 2024: 5; 2025: 7; 2026: 2.
17 papers.
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- 2023CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Notcited by 79
- 2024RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketchescited by 41
- 2024It's All About Your Sketch: Democratising Sketch Control in Diffusion Modelscited by 28
- 2023What Can Human Sketches Do for Object Detection?cited by 19
- 2023Exploiting Unlabelled Photos for Stronger Fine-Grained SBIRcited by 14
- 2024How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?cited by 10
- 2025Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketchescited by 9
- 2025SketchFusion: Learning Universal Sketch Features through Fusing Foundation Modelscited by 4
- 2025SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketchescited by 3
- 2024Multi-modal Generation via Cross-Modal In-Context Learningcited by 2
- 2025Sketch Down the FLOPs: Towards Efficient Networks for Human Sketchcited by 2
- 2025SketchYourSeg: Mask-Free Subjective Image Segmentation via Freehand Sketchescited by 1
5 more
- 2026Stroke of Surprise: Progressive Semantic Illusions in Vector Sketchingcited by 1
- 2024SketchDeco: Training-Free Latent Composition for Precise Sketch Colourisationcited by 0
- 2025Breaking the Box: Enhancing Remote Sensing Image Segmentation with Freehand Sketchescited by 0
- 2025Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detectioncited by 0
- 2026Focus Where It Counts: A Salience-Driven Vision-Language Model for Low Vision Assistancecited by 0
- 2026Focus Where It Counts: A Salience-Driven Vision-Language Model for Low Vision Assistance28 Aug 2026
- 2026Stroke of Surprise: Progressive Semantic Illusions in Vector Sketching12 Feb 2026
- 2025Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection10 Jul 2025
- 2025SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches29 Jun 2025
- 2025Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch29 May 2025
- 2025SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models18 Mar 2025
- 2025Breaking the Box: Enhancing Remote Sensing Image Segmentation with Freehand Sketches15 Mar 2025
- 2025Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches14 Mar 2025
- 2025SketchYourSeg: Mask-Free Subjective Image Segmentation via Freehand Sketches27 Jan 2025
- 2024SketchDeco: Training-Free Latent Composition for Precise Sketch Colourisation29 May 2024
- 2024Multi-modal Generation via Cross-Modal In-Context Learning28 May 2024
- 2024It's All About Your Sketch: Democratising Sketch Control in Diffusion Models12 Mar 2024
5 more
- 2024How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?11 Mar 2024
- 2024RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches5 Mar 2024
- 2023What Can Human Sketches Do for Object Detection?27 Mar 2023
- 2023Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR24 Mar 2023
- 2023CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not23 Mar 2023
- 2023CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Notcited by 79
- 2023What Can Human Sketches Do for Object Detection?cited by 19
- 2023Exploiting Unlabelled Photos for Stronger Fine-Grained SBIRcited by 14
- 2024How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?cited by 10
- 2025SketchFusion: Learning Universal Sketch Features through Fusing Foundation Modelscited by 4
- 2024Multi-modal Generation via Cross-Modal In-Context Learningcited by 2
- 2025Sketch Down the FLOPs: Towards Efficient Networks for Human Sketchcited by 2
- 2025SketchYourSeg: Mask-Free Subjective Image Segmentation via Freehand Sketchescited by 1
- 2026Stroke of Surprise: Progressive Semantic Illusions in Vector Sketchingcited by 1
- 2024SketchDeco: Training-Free Latent Composition for Precise Sketch Colourisationcited by 0
- 2025Breaking the Box: Enhancing Remote Sensing Image Segmentation with Freehand Sketchescited by 0
- 2025Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detectioncited by 0
- 2026Stroke of Surprise: Progressive Semantic Illusions in Vector Sketching12 Feb 2026
- 2025Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection10 Jul 2025
- 2025Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch29 May 2025
- 2025SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models18 Mar 2025
- 2025Breaking the Box: Enhancing Remote Sensing Image Segmentation with Freehand Sketches15 Mar 2025
- 2025SketchYourSeg: Mask-Free Subjective Image Segmentation via Freehand Sketches27 Jan 2025
- 2024SketchDeco: Training-Free Latent Composition for Precise Sketch Colourisation29 May 2024
- 2024Multi-modal Generation via Cross-Modal In-Context Learning28 May 2024
- 2024How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?11 Mar 2024
- 2023What Can Human Sketches Do for Object Detection?27 Mar 2023
- 2023Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR24 Mar 2023
- 2023CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not23 Mar 2023