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RGB-D Salient Object Detection

RGB-D Salient object detection (SOD) aims at distinguishing the most visually distinctive objects or regions in a scene from the given RGB and Depth data. It has a wide range of applications, including video/image segmentation, object recognition, visual tracking, foreground maps evaluation, image retrieval, content-aware image editing, information discovery, photosynthesis, and weakly supervised semantic segmentation. Here, depth information plays an important complementary role in finding salient objects. Online benchmark: http://dpfan.net/d3netbenchmark.

( Image credit: Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks, TNNLS20 )

Papers

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Showing 26–50 of 88 papers

TitleStatusHype
Densely Deformable Efficient Salient Object Detection NetworkCode1
Density Map Guided Object Detection in Aerial ImagesCode1
A Single Stream Network for Robust and Real-time RGB-D Salient Object DetectionCode1
DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object DetectionCode1
Depth Quality Aware Salient Object DetectionCode1
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object DetectionCode1
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object DetectionCode1
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational AutoencodersCode1
SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object DetectionCode1
Siamese Network for RGB-D Salient Object Detection and BeyondCode1
Self-Supervised Pretraining for RGB-D Salient Object DetectionCode1
Bifurcated backbone strategy for RGB-D salient object detectionCode1
Select, Supplement and Focus for RGB-D Saliency DetectionCode1
RGB-D Salient Object Detection with Cross-Modality Modulation and SelectionCode1
RGB-D Salient Object Detection via 3D Convolutional Neural NetworksCode1
Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionCode1
RGB-D Salient Object Detection: A SurveyCode1
Is Depth Really Necessary for Salient Object Detection?Code1
Joint Learning of Salient Object Detection, Depth Estimation and Contour ExtractionCode1
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object DetectionCode1
Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object DetectionCode0
Adaptive Fusion for RGB-D Salient Object DetectionCode0
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB ImagesCode0
CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object DetectionCode0
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object DetectionCode0
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