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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 51–88 of 88 papers

TitleStatusHype
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection—0
Hierarchical Cross-modal Transformer for RGB-D Salient Object Detection—0
HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness—0
CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object DetectionCode0
SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification—0
TANet: Transformer-based Asymmetric Network for RGB-D Salient Object DetectionCode0
Dynamic Message Propagation Network for RGB-D Salient Object Detection—0
Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient Object Detection—0
GroupTransNet: Group Transformer Network for RGB-D Salient Object Detection—0
Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection—0
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB ImagesCode0
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction—0
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object DetectionCode0
M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection—0
ACFNet: Adaptively-Cooperative Fusion Network for RGB-D Salient Object Detection—0
RGB-D Salient Object Detection with Ubiquitous Target Awareness—0
Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection—0
Cross-modality Discrepant Interaction Network for RGB-D Salient Object DetectionCode0
Dynamic Knowledge Distillation With Noise Elimination for RGB-D Salient Object Detection—0
Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection—0
Middle-level Fusion for Lightweight RGB-D Salient Object Detection—0
MobileSal: Extremely Efficient RGB-D Salient Object DetectionCode0
A Unified Structure for Efficient RGB and RGB-D Salient Object Detection—0
Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object DetectionCode0
Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object DetectionCode0
Multi-level Cross-modal Interaction Network for RGB-D Salient Object Detection—0
cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial NetworksCode0
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency DetectionCode0
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse—0
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object DetectionCode0
2D Car Detection in Radar Data with PointNets—0
Adaptive Fusion for RGB-D Salient Object DetectionCode0
Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object DetectionCode0
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object DetectionCode0
Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features—0
RGB-D Salient Object Detection Based on Discriminative Cross-modal Transfer Learning—0
RGBD Salient Object Detection via Deep Fusion—0
Local Background Enclosure for RGB-D Salient Object Detection—0
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