mlsanityData to 14 Oct 2026

Scribble-Supervised RGB-T Salient Object Detection

arXiv 2303.09733 ↗First posted 17 Mar 2023cs.CVcited by 8

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Abstract (arXiv)

Salient object detection segments attractive objects in scenes. RGB and thermal modalities provide complementary information and scribble annotations alleviate large amounts of human labor. Based on the above facts, we propose a scribble-supervised RGB-T salient object detection model. By a four-step solution (expansion, prediction, aggregation, and supervision), label-sparse challenge of scribble-supervised method is solved. To expand scribble annotations, we collect the superpixels that foreground scribbles pass through in RGB and thermal images, respectively. The expanded multi-modal labels provide the coarse object boundary. To further polish the expanded labels, we propose a prediction module to alleviate the sharpness of boundary. To play the complementary roles of two modalities, we combine the two into aggregated pseudo labels. Supervised by scribble annotations and pseudo labels, our model achieves the state-of-the-art performance on the relabeled RGBT-S dataset. Furthermore, the model is applied to RGB-D and video scribble-supervised applications, achieving consistently excellent performance.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 22 of its 36 references that are in the map. First posted on arXiv 17 Mar 2023.

Builds on

22 of 36 references.

References · 22

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2021Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutionscited by 1,962
  3. 2019F3Net: Fusion, Feedback and Focus for Salient Object Detectioncited by 176
  4. 2019Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarkscited by 133
  5. 2019Pixel-Adaptive Convolutional Neural Networkscited by 126
  6. 2022Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformerscited by 118
  7. 2020Weakly-Supervised Salient Object Detection via Scribble Annotationscited by 96
  8. 2020RGBT Salient Object Detection: A Large-scale Dataset and Benchmarkcited by 69
  9. 2022Scribble-Supervised LiDAR Semantic Segmentationcited by 69
  10. 2022Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervisioncited by 64
  11. 2022SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detectioncited by 59
  12. 2019RGB-T Image Saliency Detection via Collaborative Graph Learningcited by 58
10 more
  1. 2020Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherencecited by 55
  2. 2017A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approachcited by 51
  3. 2020Multi-interactive Dual-decoder for RGB-thermal Salient Object Detectioncited by 44
  4. 2022Weakly-Supervised Camouflaged Object Detection with Scribble Annotationscited by 43
  5. 2022Does Thermal Really Always Matter for RGB-T Salient Object Detection?cited by 37
  6. 2021Weakly Supervised Video Salient Object Detectioncited by 28
  7. 2016A Benchmark Dataset and Saliency-guided Stacked Autoencoders for Video-based Salient Object Detectioncited by 19
  8. 2020Scribble-based Weakly Supervised Deep Learning for Road Surface Extraction from Remote Sensing Imagescited by 15
  9. 2022Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotationscited by 15
  10. 2022Weakly Supervised Video Salient Object Detection via Point Supervisioncited by 13

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 4; 2025: 1; 2026: 2.

8 papers.