mlsanityData to 13 Oct 2026

Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation

arXiv 1909.04161 ↗First posted 9 Sep 2019cs.CVcited by 57

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Abstract (arXiv)

Existing weakly supervised semantic segmentation (WSSS) methods usually utilize the results of pre-trained saliency detection (SD) models without explicitly modeling the connections between the two tasks, which is not the most efficient configuration. Here we propose a unified multi-task learning framework to jointly solve WSSS and SD using a single network, ie saliency, and segmentation network (SSNet). SSNet consists of a segmentation network (SN) and a saliency aggregation module (SAM). For an input image, SN generates the segmentation result and, SAM predicts the saliency of each category and aggregating the segmentation masks of all categories into a saliency map. The proposed network is trained end-to-end with image-level category labels and class-agnostic pixel-level saliency labels. Experiments on PASCAL VOC 2012 segmentation dataset and four saliency benchmark datasets show the performance of our method compares favorably against state-of-the-art weakly supervised segmentation methods and fully supervised saliency detection methods.

Key facts. Cited by 57 papers in the map (data through 13 Oct 2026). First posted on arXiv 9 Sep 2019.

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 21; 2022: 11; 2023: 14; 2024: 7; 2025: 3; 2026: 1.

57 papers.

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  1. 2021Salient Object Detection via Integrity Learningcited by 133
  2. 2021Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentationcited by 127
  3. 2021Uncertainty-aware Joint Salient Object and Camouflaged Object Detectioncited by 114
  4. 2021Large-scale Unsupervised Semantic Segmentationcited by 99
  5. 2021Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrastcited by 85
  6. 2021Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentationcited by 77
  7. 2022Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentationcited by 64
  8. 2021Pseudo-mask Matters in Weakly-supervised Semantic Segmentationcited by 48
  9. 2023Advances in Deep Concealed Scene Understandingcited by 47
  10. 2023Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspectivecited by 43
  11. 2021Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentationcited by 41
  12. 2022Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholdscited by 37
38 more
  1. 2022Class-Aware Adversarial Transformers for Medical Image Segmentationcited by 33
  2. 2021Group Collaborative Learning for Co-Salient Object Detectioncited by 32
  3. 2022Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labelscited by 30
  4. 2021Unsupervised Foreground Extraction via Deep Region Competitioncited by 26
  5. 2021Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentationcited by 22
  6. 2022Weakly-supervised segmentation of referring expressionscited by 21
  7. 2021Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Imagescited by 20
  8. 2021Salient Objects in Cluttercited by 19
  9. 2022Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentationcited by 19
  10. 2023Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Modelscited by 19
  11. 2023Sketch2Saliency: Learning to Detect Salient Objects from Human Drawingscited by 17
  12. 2021BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detectioncited by 15
  13. 2022Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Imagescited by 15
  14. 2022Panoramic Vision Transformer for Saliency Detection in 360deg Videoscited by 15
  15. 2021Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentationcited by 13
  16. 2022GCoNet+: A Stronger Group Collaborative Co-Salient Object Detectorcited by 11
  17. 2023Memory-aided Contrastive Consensus Learning for Co-salient Object Detectioncited by 9
  18. 2023Co-Salient Object Detection with Co-Representation Purificationcited by 9
  19. 2021GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentationcited by 8
  20. 2024Quality-aware Selective Fusion Network for V-D-T Salient Object Detectioncited by 8
  21. 2023Interaction-aware Joint Attention Estimation Using People Attributescited by 6
  22. 2021Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Datacited by 4
  23. 2024Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictionscited by 4
  24. 2023Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentationcited by 3
  25. 2023Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learningcited by 3
  26. 2024Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentationcited by 3
  27. 2021Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detectioncited by 2
  28. 2021Multi-scale Edge-based U-shape Network for Salient Object Detectioncited by 2
  29. 2022Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigmcited by 2
  30. 2024Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic Segmentationcited by 2
  31. 2021Simpler Does It: Generating Semantic Labels with Objectness Guidancecited by 1
  32. 2022Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap imagescited by 1
  33. 2023MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic Segmentationcited by 1
  34. 2025Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotioncited by 1
  35. 2021Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentationcited by 0
  36. 2023SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeterscited by 0
  37. 2023A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic Segmentationcited by 0
  38. 2023Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentationcited by 0

50 most cited of 57 All 57 (JSON)