mlsanityData to 14 Oct 2026

BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection

arXiv 2104.01784 ↗First posted 5 Apr 2021cs.CVcited by 15

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Abstract (arXiv)

Depth information has been proved beneficial in RGB-D salient object detection (SOD). However, depth maps obtained often suffer from low quality and inaccuracy. Most existing RGB-D SOD models have no cross-modal interactions or only have unidirectional interactions from depth to RGB in their encoder stages, which may lead to inaccurate encoder features when facing low quality depth. To address this limitation, we propose to conduct progressive bi-directional interactions as early in the encoder stage, yielding a novel bi-directional transfer-and-selection network named BTS-Net, which adopts a set of bi-directional transfer-and-selection (BTS) modules to purify features during encoding. Based on the resulting robust encoder features, we also design an effective light-weight group decoder to achieve accurate final saliency prediction. Comprehensive experiments on six widely used datasets demonstrate that BTS-Net surpasses 16 latest state-of-the-art approaches in terms of four key metrics.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 18 of its 32 references that are in the map. First posted on arXiv 5 Apr 2021.

Builds on

18 of 32 references.

References · 18

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2016DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFscited by 3,241
  3. 2018CBAM: Convolutional Block Attention Modulecited by 2,477
  4. 2017Residual Attention Network for Image Classificationcited by 386
  5. 2019Cross Attention Network for Few-shot Classificationcited by 219
  6. 2019Salient Object Detection in the Deep Learning Era: An In-Depth Surveycited by 164
  7. 2019Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarkscited by 133
  8. 2020UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoderscited by 98
  9. 2020JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detectioncited by 79
  10. 2020RGB-D Salient Object Detection: A Surveycited by 73
  11. 2020Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detectioncited by 72
  12. 2020A Single Stream Network for Robust and Real-time RGB-D Salient Object Detectioncited by 67
6 more
  1. 2020Accurate RGB-D Salient Object Detection via Collaborative Learningcited by 52
  2. 2020RGB-D Salient Object Detection with Cross-Modality Modulation and Selectioncited by 50
  3. 2020Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detectioncited by 40
  4. 2020Cascade Graph Neural Networks for RGB-D Salient Object Detectioncited by 36
  5. 2018Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Mapscited by 26
  6. 2018PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detectioncited by 21

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 4; 2023: 4; 2024: 5; 2025: 0; 2026: 1.

15 papers.

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  1. 2022SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detectioncited by 59
  2. 2023Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detectioncited by 25
  3. 2024Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAMcited by 23
  4. 2021The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinementcited by 13
  5. 2023CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentationcited by 10
  6. 2023Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detectioncited by 9
  7. 2023Salient Object Detection in RGB-D Videoscited by 8
  8. 2024MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detectioncited by 6
  9. 2022DFTR: Depth-supervised Fusion Transformer for Salient Object Detectioncited by 5
  10. 2022Mirror Complementary Transformer Network for RGB-thermal Salient Object Detectioncited by 3
  11. 2024Salient Object Detection From Arbitrary Modalitiescited by 2
  12. 2024Depth-guided Texture Diffusion for Image Semantic Segmentationcited by 2
3 more
  1. 2024A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Networkcited by 1
  2. 2022Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detectioncited by 0
  3. 2026Learning Spatially Adaptive Structural Coordination for Underwater Salient Object Detectioncited by 0