mlsanityData to 7 Oct 2026

The Secrets of Salient Object Segmentation

arXiv 1406.2807 ↗First posted 11 Jun 2014cs.CVcited by 200

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Abstract (arXiv)

In this paper we provide an extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets. Our analysis identifies serious design flaws of existing salient object benchmarks, called the dataset design bias, by over emphasizing the stereotypical concepts of saliency. The dataset design bias does not only create the discomforting disconnection between fixations and salient object segmentation, but also misleads the algorithm designing. Based on our analysis, we propose a new high quality dataset that offers both fixation and salient object segmentation ground-truth. With fixations and salient object being presented simultaneously, we are able to bridge the gap between fixations and salient objects, and propose a novel method for salient object segmentation. Finally, we report significant benchmark progress on three existing datasets of segmenting salient objects

Key facts. Cited by 200 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jun 2014.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 56; 2022: 45; 2023: 30; 2024: 24; 2025: 27; 2026: 18.

200 papers.

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  1. 2021Concealed Object Detectioncited by 212
  2. 2022Visual Attention Networkcited by 210
  3. 2021Simultaneously Localize, Segment and Rank the Camouflaged Objectscited by 198
  4. 2021Visual Saliency Transformercited by 175
  5. 2021Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentationcited by 134
  6. 2021Salient Object Detection via Integrity Learningcited by 133
  7. 2021A Survey on Deep Learning Technique for Video Segmentationcited by 132
  8. 2022Highly Accurate Dichotomous Image Segmentationcited by 110
  9. 2023Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Groupingcited by 92
  10. 2021P2T: Pyramid Pooling Transformer for Scene Understandingcited by 84
  11. 2022Pyramid Grafting Network for One-Stage High Resolution Saliency Detectioncited by 63
  12. 2024SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentationcited by 63
38 more
  1. 2022Weakly Supervised Semantic Segmentation using Out-of-Distribution Datacited by 58
  2. 2023VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learningcited by 58
  3. 2021Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Predictioncited by 57
  4. 2021DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modelingcited by 55
  5. 2021Boundary-Aware Segmentation Network for Mobile and Web Applicationscited by 41
  6. 2021On Model Calibration for Long-Tailed Object Detection and Instance Segmentationcited by 39
  7. 2022Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosiscited by 38
  8. 2022Revisiting Image Pyramid Structure for High Resolution Salient Object Detectioncited by 36
  9. 2021Disentangled High Quality Salient Object Detectioncited by 35
  10. 2022Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentationcited by 35
  11. 2024Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Datasetcited by 33
  12. 2021TRACER: Extreme Attention Guided Salient Object Tracing Networkcited by 32
  13. 2024Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detectioncited by 29
  14. 2023VST++: Efficient and Stronger Visual Saliency Transformercited by 28
  15. 2025RUN: Reversible Unfolding Network for Concealed Object Segmentationcited by 28
  16. 2021MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detectioncited by 27
  17. 2021Position, Padding and Predictions: A Deeper Look at Position Information in CNNscited by 26
  18. 2022Glass Segmentation with RGB-Thermal Image Pairscited by 26
  19. 2022SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximizationcited by 26
  20. 2022Weakly-Supervised Salient Object Detection Using Point Supervisioncited by 25
  21. 2024A Comprehensive Survey on Evidential Deep Learning and Its Applicationscited by 25
  22. 2022Texture-guided Saliency Distilling for Unsupervised Salient Object Detectioncited by 24
  23. 2021Densely Nested Top-Down Flows for Salient Object Detectioncited by 23
  24. 2024A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detectioncited by 23
  25. 2022Grounded Affordance from Exocentric Viewcited by 21
  26. 2021Recursive Contour Saliency Blending Network for Accurate Salient Object Detectioncited by 20
  27. 2022SelfReformer: Self-Refined Network with Transformer for Salient Object Detectioncited by 20
  28. 2022A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labelscited by 20
  29. 2021Salient Objects in Cluttercited by 19
  30. 2022Towards Deeper Understanding of Camouflaged Object Detectioncited by 19
  31. 2024Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmarkcited by 19
  32. 2021Generative Transformer for Accurate and Reliable Salient Object Detectioncited by 18
  33. 2023PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentationcited by 18
  34. 2022Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learningcited by 17
  35. 2023Towards Diverse Binary Segmentation via A Simple yet General Gated Networkcited by 17
  36. 2023Sketch2Saliency: Learning to Detect Salient Objects from Human Drawingscited by 17
  37. 2023Explicit Visual Prompting for Universal Foreground Segmentationscited by 17
  38. 2021TransVOS: Video Object Segmentation with Transformerscited by 15

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