mlsanityData to 7 Oct 2026

PseudoClick: Interactive Image Segmentation with Click Imitation

arXiv 2207.05282 ↗First posted 12 Jul 2022cs.CVcited by 42

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Abstract (arXiv)

The goal of click-based interactive image segmentation is to obtain precise object segmentation masks with limited user interaction, i.e., by a minimal number of user clicks. Existing methods require users to provide all the clicks: by first inspecting the segmentation mask and then providing points on mislabeled regions, iteratively. We ask the question: can our model directly predict where to click, so as to further reduce the user interaction cost? To this end, we propose PseudoClick, a generic framework that enables existing segmentation networks to propose candidate next clicks. These automatically generated clicks, termed pseudo clicks in this work, serve as an imitation of human clicks to refine the segmentation mask.

Key facts. Cited by 42 papers in the map (data through 7 Oct 2026). Builds on 30 of its 58 references that are in the map. First posted on arXiv 12 Jul 2022.

Builds on

30 of 58 references.

References · 30

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  3. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,427
  4. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,923
  5. 2019Deep High-Resolution Representation Learning for Visual Recognitioncited by 1,417
  6. 2019LVIS: A Dataset for Large Vocabulary Instance Segmentationcited by 1,215
  7. 2017A Survey on Deep Learning in Medical Image Analysiscited by 1,182
  8. 2020Image Segmentation Using Deep Learning: A Surveycited by 659
  9. 2021The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classificationcited by 507
  10. 2018An Algorithmic Perspective on Imitation Learningcited by 455
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  12. 2019Video Instance Segmentationcited by 391
18 more
  1. 2018YouTube-VOS: A Large-Scale Video Object Segmentation Benchmarkcited by 381
  2. 2019Learning Loss for Active Learningcited by 335
  3. 2017Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperationcited by 286
  4. 2021Reviving Iterative Training with Mask Guidance for Interactive Segmentationcited by 162
  5. 2016Deep Interactive Object Selectioncited by 160
  6. 2021HRFormer: High-Resolution Transformer for Dense Predictioncited by 149
  7. 2021Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusioncited by 129
  8. 2017Deep Extreme Cut: From Extreme Points to Object Segmentationcited by 127
  9. 2017A Review on Deep Learning Techniques Applied to Semantic Segmentationcited by 122
  10. 2020f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentationcited by 117
  11. 2019Large-scale interactive object segmentation with human annotatorscited by 109
  12. 2022FocalClick: Towards Practical Interactive Image Segmentationcited by 101
  13. 2019Fast Interactive Object Annotation with Curve-GCNcited by 95
  14. 2020Local Temperature Scaling for Probability Calibrationcited by 95
  15. 2019AdaptIS: Adaptive Instance Selection Networkcited by 64
  16. 2018Iteratively Trained Interactive Segmentationcited by 52
  17. 2019Continuous Adaptation for Interactive Object Segmentation by Learning from Correctionscited by 36
  18. 2017Deep GrabCut for Object Selectioncited by 33

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 14; 2024: 17; 2025: 5; 2026: 5.

42 papers.

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  1. 2023Segment Everything Everywhere All at Oncecited by 546
  2. 2022SimpleClick: Interactive Image Segmentation with Simple Vision Transformerscited by 109
  3. 2023AGILE3D: Attention Guided Interactive Multi-object 3D Segmentationcited by 33
  4. 2024Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Promptscited by 22
  5. 2023InterFormer: Real-time Interactive Image Segmentationcited by 20
  6. 2023CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentationcited by 17
  7. 2023DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformercited by 14
  8. 2024GraCo: Granularity-Controllable Interactive Segmentationcited by 13
  9. 2023AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentationcited by 11
  10. 2023ScribbleSeg: Scribble-based Interactive Image Segmentationcited by 10
  11. 2023Scene-Generalizable Interactive Segmentation of Radiance Fieldscited by 10
  12. 2023Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentationcited by 9
30 more
  1. 2024LiVOS: Light Video Object Segmentation with Gated Linear Matchingcited by 7
  2. 2024What is Point Supervision Worth in Video Instance Segmentation?cited by 5
  3. 2024MFP: Making Full Use of Probability Maps for Interactive Image Segmentationcited by 5
  4. 2023PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentationcited by 4
  5. 2024FocSAM: Delving Deeply into Focused Objects in Segmenting Anythingcited by 4
  6. 2023Interactive Image Segmentation with Cross-Modality Vision Transformerscited by 3
  7. 2023Feature Decoupling-Recycling Network for Fast Interactive Segmentationcited by 3
  8. 2024ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentationcited by 3
  9. 2024Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentationcited by 3
  10. 2024Learning Trimaps via Clicks for Image Mattingcited by 3
  11. 2025DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentationcited by 3
  12. 2023PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image Segmentationcited by 2
  13. 2024ISCUTE: Instance Segmentation of Cables Using Text Embeddingcited by 2
  14. 2024SAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Modelcited by 2
  15. 2024Order-aware Interactive Segmentationcited by 2
  16. 2023Evaluation and improvement of Segment Anything Model for interactive histopathology image segmentationcited by 1
  17. 2024SimSAM: Zero-shot Medical Image Segmentation via Simulated Interactioncited by 1
  18. 2024Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revisioncited by 1
  19. 2025SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contextscited by 1
  20. 2026From Static to Interactive: Adapting Visual in-Context Learners for User-Driven Taskscited by 1
  21. 2024TraceNet: Segment one thing efficientlycited by 0
  22. 2024ClickAttention: Click Region Similarity Guided Interactive Segmentationcited by 0
  23. 2024An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentationcited by 0
  24. 2025Downstream Analysis of Foundational Medical Vision Models for Disease Progressioncited by 0
  25. 2025RefCut: Interactive Segmentation with Reference Guidancecited by 0
  26. 2025FocalClick-XL: Towards Unified and High-quality Interactive Segmentationcited by 0
  27. 2026A Systematic Study of Behavioral Cloning for Scientific Data Annotationcited by 0
  28. 2026U-CFR: Uncertainty-Guided Cascade Forward Refinement for Interactive Segmentationcited by 0
  29. 2026From Few-Shot Segmentation to Clinician-in-the-Loop Medical Image Analysiscited by 0
  30. 2026IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasetscited by 0