SOTAVerified

Saliency Detection

Saliency Detection is a preprocessing step in computer vision which aims at finding salient objects in an image.

Source: An Unsupervised Game-Theoretic Approach to Saliency Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 364 papers

TitleStatusHype
Learning to Detect Instance-level Salient Objects Using Complementary Image Labels—0
Saliency detection with moving camera via background model completion—0
C^4Net: Contextual Compression and Complementary Combination Network 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
Learning Background Invariance Improves Generalization and Robustness in Self-Supervised Learning on ImageNet and Beyond—0
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models—0
Free Lunch for Co-Saliency Detection: Context Adjustment—0
Fristograms: Revealing and Exploiting Light Field Internals—0
Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network—0
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance—0
Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification—0
Temporal-Spatial Feature Pyramid for Video Saliency Detection—0
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations—0
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection—0
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration—0
Weakly-Supervised Saliency Detection via Salient Object Subitizing—0
Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance—0
DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection—0
Trajectory saliency detection using consistency-oriented latent codes from a recurrent auto-encoder—0
EF-Net: A novel enhancement and fusion network for RGB-D saliency detectionCode0
AI Marker-based Large-scale AI Literature Mining—0
Fast and Accurate Light Field Saliency Detection through Deep Encoding—0
Weakly-supervised Salient Instance Detection—0
Co-Saliency Detection with Co-Attention Fully Convolutional Network—0
Salient Instance Segmentation with Region and Box-level Annotations—0
Implicit Saliency in Deep Neural Networks—0
A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video DataCode0
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection—0
Synergistic saliency and depth prediction for RGB-D saliency detection—0
Towards Mesh Saliency Detection in 6 Degrees of Freedom—0
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images—0
Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level SaliencyCode0
Revisiting Saliency Metrics: Farthest-Neighbor Area Under CurveCode0
An Analysis of Object Representations in Deep Visual Trackers—0
A General Framework for Saliency Detection Methods—0
cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial NetworksCode0
SaLite : A light-weight model for salient object detectionCode0
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision—0
Memory-oriented Decoder for Light Field Salient Object DetectionCode0
Boosting Object Recognition in Point Clouds by Saliency Detection—0
An End-to-End Network for Co-Saliency Detection in One Single Image—0
Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks—0
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency DetectionCode0
Deep Learning for Light Field Saliency Detection—0
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision—0
Inducing Stronger Object Representations in Deep Visual Trackers—0
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse—0
Motion Guided Attention for Video Salient Object DetectionCode0
Joint Learning of Saliency Detection and Weakly Supervised Semantic SegmentationCode0
Show:102550
← PrevPage 4 of 8Next →
All datasetsDUT-OMRONHKU-ISCAT2000DUTS-testECSSDPASCAL ContextPASCAL-S

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UCFMAE0.12—Unverified
2U2-Net+MAE0.06—Unverified
3U2-NetMAE0.05—Unverified
4LDF(ours)MAE0.05—Unverified
5Pyramid Feature AttentionMAE0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1U2-Net+MAE0.04—Unverified
2Pyramid Feature AttentionMAE0.03—Unverified
3LDF(ours)MAE0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1SUMAUC0.89—Unverified
2EYMOLAUC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.04—Unverified
2PFAN [zhao2019pyramid] (+) PRNMAE0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTmax_F184.81—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.07—Unverified