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Salient Object Detection

Papers

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Showing 251–300 of 527 papers

TitleStatusHype
Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient Object Detection—0
Dynamic Knowledge Distillation With Noise Elimination for RGB-D Salient Object Detection—0
Dynamic Message Propagation Network for RGB-D Salient Object Detection—0
Edge-guided Non-local Fully Convolutional Network for Salient Object Detection—0
Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection—0
Encoding Based Saliency Detection for Videos and Images—0
End-to-End Human-Gaze-Target Detection with Transformers—0
Exploiting Color Name Space for Salient Object Detection—0
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection—0
Exploring Image Enhancement for Salient Object Detection in Low Light Images—0
Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning—0
External Prompt Features Enhanced Parameter-efficient Fine-tuning for Salient Object Detection—0
Fast Video Salient Object Detection via Spatiotemporal Knowledge Distillation—0
FIPGNet:Pyramid grafting network with feature interaction strategies—0
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection—0
Flyweight FLIM Networks for Salient Object Detection in Biomedical Images—0
Generalised Co-Salient Object Detection—0
Generic Promotion of Diffusion-Based Salient Object Detection—0
Geodesic-based Salient Object Detection—0
Geometry-Aware 3D Salient Object Detection Network—0
GroupTransNet: Group Transformer Network for RGB-D Salient Object Detection—0
Guidance and Teaching Network for Video Salient Object Detection—0
Guided Focal Stack Refinement Network for Light Field Salient Object Detection—0
HARF: Hierarchy-Associated Rich Features for Salient Object Detection—0
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation—0
HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness—0
Hierarchical Cross-modal Transformer for RGB-D Salient Object Detection—0
Hierarchical Salient Object Detection for Assisted Grasping—0
HODINet: High-Order Discrepant Interaction Network for RGB-D Salient Object Detection—0
How to Evaluate Foreground Maps?—0
HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection—0
Improving Unsupervised Video Object Segmentation via Fake Flow Generation—0
Improvised Salient Object Detection and Manipulation—0
iNAS: Integral NAS for Device-Aware Salient Object Detection—0
Instance-Level Relative Saliency Ranking with Graph Reasoning—0
Instruction-Driven Fusion of Infrared-Visible Images: Tailoring for Diverse Downstream Tasks—0
Integrated Deep and Shallow Networks for Salient Object Detection—0
Interactive Context-Aware Network for RGB-T Salient Object Detection—0
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning—0
KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection—0
Large-Field Contextual Feature Learning for Glass Detection—0
LC3Net: Ladder context correlation complementary network for salient object detection—0
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction—0
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation—0
Learning Optimal Seeds for Diffusion-based Salient Object Detection—0
Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features—0
Learning to Detect Salient Objects With Image-Level Supervision—0
Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance—0
Local Background Enclosure for RGB-D Salient Object Detection—0
Localization, balance and affinity: a stronger multifaceted collaborative salient object detector in remote sensing images—0
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All datasetsECSSDPASCAL-SHKU-ISDUT-OMRONDUTS-TESOD

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetS-measure0.95—Unverified
2FOCUSS-measure0.94—Unverified
3SelfReformer-SwinS-measure0.94—Unverified
4EVPv2S-measure0.94—Unverified
5SelfReformerS-measure0.94—Unverified
6EVPv1S-measure0.94—Unverified
7LDF(ours)S-measure0.92—Unverified
8F3NetS-measure0.92—Unverified
9RCSBS-measure0.92—Unverified
10F3NetS-measure0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1FOCUSS-measure0.9—Unverified
2SAM2-UNetS-measure0.89—Unverified
3EVPv2S-measure0.88—Unverified
4EVPv1S-measure0.88—Unverified
5SelfReformer-SwinS-measure0.88—Unverified
6SelfReformerS-measure0.87—Unverified
7LDF(ours)S-measure0.86—Unverified
8RCSBS-measure0.85—Unverified
9F3NetS-measure0.85—Unverified
10F3NetS-measure0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetS-measure0.94—Unverified
2FOCUSS-measure0.94—Unverified
3SelfReformer-SwinS-measure0.93—Unverified
4EVPv1S-measure0.93—Unverified
5SelfReformerS-measure0.93—Unverified
6LDFS-measure0.92—Unverified
7RCSBS-measure0.92—Unverified
8F3NetS-measure0.92—Unverified
9U2NetMAE0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetS-measure0.88—Unverified
2FOCUSS-measure0.87—Unverified
3EVPv2S-measure0.86—Unverified
4SelfReformer-SwinS-measure0.86—Unverified
5SelfReformerS-measure0.86—Unverified
6F3NetS-measure0.84—Unverified
7LDFS-measure0.84—Unverified
8RCSBS-measure0.82—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetSmeasure0.93—Unverified
2FOCUSSmeasure0.93—Unverified
3SelfReformer-SwinSmeasure0.92—Unverified
4EVPv2Smeasure0.92—Unverified
5SelfReformerSmeasure0.91—Unverified
6LDF(ResNet-50)Smeasure0.89—Unverified
7F3NetSmeasure0.89—Unverified
8RCSBSmeasure0.88—Unverified
#ModelMetricClaimedVerifiedStatus
1U2-Net+Fwβ0.7—Unverified