mlsanityData to 14 Oct 2026

Learning Synergistic Attention for Light Field Salient Object Detection

arXiv 2104.13916 ↗First posted 28 Apr 2021cs.CVcited by 6

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Abstract (arXiv)

We propose a novel Synergistic Attention Network (SA-Net) to address the light field salient object detection by establishing a synergistic effect between multi-modal features with advanced attention mechanisms. Our SA-Net exploits the rich information of focal stacks via 3D convolutional neural networks, decodes the high-level features of multi-modal light field data with two cascaded synergistic attention modules, and predicts the saliency map using an effective feature fusion module in a progressive manner. Extensive experiments on three widely-used benchmark datasets show that our SA-Net outperforms 28 state-of-the-art models, sufficiently demonstrating its effectiveness and superiority. Our code is available at https://github.com/PanoAsh/SA-Net.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 23 of its 54 references that are in the map. First posted on arXiv 28 Apr 2021.

Builds on

23 of 54 references.

References · 23

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11 more
  1. 2019F3Net: Fusion, Feedback and Focus for Salient Object Detectioncited by 176
  2. 2019Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarkscited by 133
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  4. 2020Global Context-Aware Progressive Aggregation Network for Salient Object Detectioncited by 109
  5. 2017Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detectioncited by 93
  6. 2020Making a Case for 3D Convolutions for Object Segmentation in Videoscited by 56
  7. 2016RGBD Salient Object Detection via Deep Fusioncited by 46
  8. 2017Learning Uncertain Convolutional Features for Accurate Saliency Detectioncited by 44
  9. 2021RGB-D Salient Object Detection via 3D Convolutional Neural Networkscited by 36
  10. 2018PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detectioncited by 21
  11. 2019Light Field Saliency Detection with Deep Convolutional Networkscited by 10

Built on by

Cited by year

Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 2; 2025: 1.

6 papers.

  1. 2023HRTransNet: HRFormer-Driven Two-Modality Salient Object Detectioncited by 27
  2. 2023Guided Focal Stack Refinement Network for Light Field Salient Object Detectioncited by 3
  3. 2024MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformercited by 3
  4. 2024LFSamba: Marry SAM with Mamba for Light Field Salient Object Detectioncited by 2
  5. 2021CMA-Net: A Cascaded Mutual Attention Network for Light Field Salient Object Detectioncited by 1
  6. 2025SPLF-SAM: Self-Prompting Segment Anything Model for Light Field Salient Object Detectioncited by 0