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Salient Object Detection

Papers

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Showing 301–350 of 527 papers

TitleStatusHype
Global-and-Local Collaborative Learning for Co-Salient Object DetectionCode0
Automated Design of Salient Object Detection Algorithms with Brain Programming—0
GroupTransNet: Group Transformer Network for RGB-D Salient Object Detection—0
End-to-End Human-Gaze-Target Detection with Transformers—0
DFTR: Depth-supervised Fusion Transformer for Salient Object Detection—0
3SD: Self-Supervised Saliency Detection With No LabelsCode0
Semantic Distillation Guided Salient Object Detection—0
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling—0
Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection—0
Salient Object Detection by LTP Texture Characterization on Opposing Color Pairs under SLICO Superpixel Constraint—0
Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection—0
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB ImagesCode0
Semi-supervised Salient Object Detection with Effective Confidence Estimation—0
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction—0
a novel attention-based network for fast salient object detection—0
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object DetectionCode0
A General Divergence Modeling Strategy for Salient Object Detection—0
Addressing Multiple Salient Object Detection via Dual-Space Long-Range DependenciesCode0
Video Salient Object Detection via Contrastive Features and Attention Modules—0
C^4Net: Contextual Compression and Complementary Combination Network for Salient Object Detection—0
LC3Net: Ladder context correlation complementary network for salient object detection—0
Receptive Field Broadening and Boosting for Salient Object Detection—0
Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss—0
Modality-Guided Subnetwork for Salient Object Detection—0
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
To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection—0
Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-NetCode0
Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection—0
MPI: Multi-receptive and Parallel Integration for Salient Object DetectionCode0
Cross-modality Discrepant Interaction Network for RGB-D Salient Object DetectionCode0
Perception-and-Regulation Network for Salient Object Detection—0
Instance-Level Relative Saliency Ranking with Graph Reasoning—0
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
Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine StructuresCode0
SHD360: A Benchmark Dataset for Salient Human Detection in 360° VideosCode0
Guidance and Teaching Network for Video Salient Object Detection—0
Exploring Driving-aware Salient Object Detection via Knowledge TransferCode0
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection—0
CoSformer: Detecting Co-Salient Object with Transformers—0
Video Salient Object Detection via Adaptive Local-Global RefinementCode0
Middle-level Fusion for Lightweight RGB-D Salient Object Detection—0
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation—0
Salient Image Matting—0
Progressive Self-Guided Loss for Salient Object DetectionCode0
Weakly-Supervised Saliency Detection via Salient Object Subitizing—0
Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance—0
iNAS: Integral NAS for Device-Aware Salient Object Detection—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