mlsanityData to 14 Oct 2026

Texture-guided Saliency Distilling for Unsupervised Salient Object Detection

arXiv 2207.05921 ↗First posted 13 Jul 2022cs.CVcited by 24

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Abstract (arXiv)

Deep Learning-based Unsupervised Salient Object Detection (USOD) mainly relies on the noisy saliency pseudo labels that have been generated from traditional handcraft methods or pre-trained networks. To cope with the noisy labels problem, a class of methods focus on only easy samples with reliable labels but ignore valuable knowledge in hard samples. In this paper, we propose a novel USOD method to mine rich and accurate saliency knowledge from both easy and hard samples. First, we propose a Confidence-aware Saliency Distilling (CSD) strategy that scores samples conditioned on samples' confidences, which guides the model to distill saliency knowledge from easy samples to hard samples progressively. Second, we propose a Boundary-aware Texture Matching (BTM) strategy to refine the boundaries of noisy labels by matching the textures around the predicted boundary. Extensive experiments on RGB, RGB-D, RGB-T, and video SOD benchmarks prove that our method achieves state-of-the-art USOD performance.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). Builds on 38 of its 85 references that are in the map. First posted on arXiv 13 Jul 2022.

Builds on

38 of 85 references.

References · 38

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  3. 2017Squeeze-and-Excitation Networkscited by 4,789
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  5. 2020Improved Baselines with Momentum Contrastive Learningcited by 2,287
  6. 2018Enhanced-alignment Measure for Binary Foreground Map Evaluationcited by 370
  7. 2019EGNet:Edge Guidance Network for Salient Object Detectioncited by 237
  8. 2019Cascaded Partial Decoder for Fast and Accurate Salient Object Detectioncited by 216
  9. 2020Multi-scale Interactive Network for Salient Object Detectioncited by 212
  10. 2014The Secrets of Salient Object Segmentationcited by 200
  11. 2016Deeply supervised salient object detection with short connectionscited by 196
  12. 2015Visual Saliency Based on Multiscale Deep Featurescited by 185
26 more
  1. 2019Salient Object Detection in the Deep Learning Era: An In-Depth Surveycited by 164
  2. 2019Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarkscited by 133
  3. 2021Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentationcited by 127
  4. 2020Suppress and Balance: A Simple Gated Network for Salient Object Detectioncited by 126
  5. 2020Label Decoupling Framework for Salient Object Detectioncited by 111
  6. 2020Weakly-Supervised Salient Object Detection via Scribble Annotationscited by 96
  7. 2017Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detectioncited by 93
  8. 2021Specificity-preserving RGB-D Saliency Detectioncited by 70
  9. 2020RGBT Salient Object Detection: A Large-scale Dataset and Benchmarkcited by 69
  10. 2019RGB-T Image Saliency Detection via Collaborative Graph Learningcited by 58
  11. 2021Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusioncited by 56
  12. 2022Unsupervised Salient Object Detection with Spectral Cluster Votingcited by 56
  13. 2020Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherencecited by 55
  14. 2017A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approachcited by 51
  15. 2018Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspectivecited by 50
  16. 2017Learning Uncertain Convolutional Features for Accurate Saliency Detectioncited by 44
  17. 2020Multi-interactive Dual-decoder for RGB-thermal Salient Object Detectioncited by 44
  18. 2019DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervisioncited by 38
  19. 2020Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detectioncited by 29
  20. 2021Weakly Supervised Video Salient Object Detectioncited by 28
  21. 2021MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detectioncited by 27
  22. 2020TENet: Triple Excitation Network for Video Salient Object Detectioncited by 26
  23. 2020Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detectioncited by 18
  24. 2022Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detectioncited by 12
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  26. 2021Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detectioncited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 8; 2024: 7; 2025: 7; 2026: 2.

24 papers.

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  1. 2023ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detectioncited by 48
  2. 2025Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learningcited by 44
  3. 2024A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detectioncited by 23
  4. 2023Towards Training-free Open-world Segmentation via Image Prompt Foundation Modelscited by 15
  5. 2024Multimodal Data Integration for Precision Oncology: Challenges and Future Directionscited by 10
  6. 2023Unified-modal Salient Object Detection via Adaptive Prompt Learningcited by 9
  7. 2023Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphscited by 7
  8. 2024SSFam: Scribble Supervised Salient Object Detection Familycited by 6
  9. 2024Unified Unsupervised Salient Object Detection via Knowledge Transfercited by 5
  10. 2023Zero-Shot Co-salient Object Detection Frameworkcited by 4
  11. 2024Reframe Anything: LLM Agent for Open World Video Reframingcited by 4
  12. 2025From Sight to Insight: Unleashing Eye-Tracking in Weakly Supervised Video Salient Object Detectioncited by 3
12 more
  1. 2025Distribution-Specific Learning for Joint Salient and Camouflaged Object Detectioncited by 3
  2. 2023USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentationcited by 2
  3. 2023Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Contextcited by 2
  4. 2024Deep Fourier-embedded Network for RGB and Thermal Salient Object Detectioncited by 2
  5. 2025Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillationcited by 2
  6. 2025HyPSAM: Hybrid Prompt-driven Segment Anything Model for RGB-Thermal Salient Object Detectioncited by 2
  7. 2026EReCu: Pseudo-label Evolution Fusion and Refinement with Multi-Cue Learning for Unsupervised Camouflage Detectioncited by 1
  8. 2023Unsupervised Segmentation of Colonoscopy Imagescited by 0
  9. 2024On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidancecited by 0
  10. 2025Count2Density: Crowd Density Estimation without Location-level Annotationscited by 0
  11. 2025Aesthetic Image Captioning with Saliency Enhanced MLLMscited by 0
  12. 2026Can Frozen Hyperspherical Features Guide the Selection of Pseudo Masks?cited by 0