SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 88 papers

TitleStatusHype
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB ImagesCode0
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction—0
CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object DetectionCode1
MutualFormer: Multi-Modality Representation Learning via Cross-Diffusion AttentionCode1
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
TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding NetworkCode1
Cross-modality Discrepant Interaction Network for RGB-D Salient Object DetectionCode0
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object DetectionCode1
Calibrated RGB-D Salient Object DetectionCode1
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
Visual Saliency TransformerCode1
Middle-level Fusion for Lightweight RGB-D Salient Object Detection—0
BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object DetectionCode1
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal FusionCode1
Densely Deformable Efficient Salient Object Detection NetworkCode1
Self-Supervised Pretraining for RGB-D Salient Object DetectionCode1
RGB-D Salient Object Detection via 3D Convolutional Neural NetworksCode1
MobileSal: Extremely Efficient RGB-D Salient Object DetectionCode0
A Unified Structure for Efficient RGB and RGB-D Salient Object Detection—0
Learning Selective Mutual Attention and Contrast for RGB-D Saliency DetectionCode1
Show:102550
← PrevPage 2 of 4Next →

No leaderboard results yet.