SOTAVerified

Salient Object Detection

Papers

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Showing 301–350 of 527 papers

TitleStatusHype
Attention-based Assisted Excitation for Salient Object Detection—0
A Unified Structure for Efficient RGB and RGB-D Salient Object Detection—0
Automated Design of Salient Object Detection Algorithms with Brain Programming—0
Automatic Salient Object Detection for Panoramic Images Using Region Growing and Fixation Prediction Model—0
Backtracking Spatial Pyramid Pooling (SPP)-based Image Classifier for Weakly Supervised Top-down Salient Object Detection—0
Boosting General Trimap-free Matting in the Real-World Image—0
Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models—0
Boundary-Aware Salient Object Detection via Recurrent Two-Stream Guided Refinement Network—0
Boundary-guided Feature Aggregation Network for Salient Object Detection—0
C^4Net: Contextual Compression and Complementary Combination Network for Salient Object Detection—0
CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection—0
Cascaded Interaction with Eroded Deep Supervision for Salient Object Detection—0
Centralized Information Interaction for Salient Object Detection—0
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection—0
CLASS: Cross-Level Attention and Supervision for Salient Objects Detection—0
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse—0
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery—0
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection—0
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection—0
Context Proposals for Saliency Detection—0
Contextual Hypergraph Modelling for Salient Object Detection—0
Contrast-Oriented Deep Neural Networks for Salient Object Detection—0
Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph—0
Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion—0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking—0
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection—0
CoSformer: Detecting Co-Salient Object with Transformers—0
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement—0
Cross-layer Feature Pyramid Network for Salient Object Detection—0
CSDNet: Detect Salient Object in Depth-Thermal via A Lightweight Cross Shallow and Deep Perception Network—0
Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth Completion—0
Decomposition-based and Interference Perception for Infrared and Visible Image Fusion in Complex Scenes—0
Deep Contrast Learning for Salient Object Detection—0
Deep Level Sets for Salient Object Detection—0
Deep Reasoning with Multi-Scale Context for Salient Object Detection—0
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection—0
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision—0
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision—0
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection—0
Delving Into Salient Object Subitizing and Detection—0
Depth-guided Texture Diffusion for Image Semantic Segmentation—0
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread—0
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection—0
DFTR: Depth-supervised Fusion Transformer for Salient Object Detection—0
DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection—0
DISC: Deep Image Saliency Computing via Progressive Representation Learning—0
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling—0
Distortion-adaptive Salient Object Detection in 360^ Omnidirectional Images—0
Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection—0
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks—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