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
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object DetectionCode1
Implicit Saliency in Deep Neural Networks—0
A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video DataCode0
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency DetectionCode1
Online Visual Place Recognition via Saliency Re-identificationCode1
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection—0
Accurate RGB-D Salient Object Detection via Collaborative LearningCode1
Synergistic saliency and depth prediction for RGB-D saliency detection—0
JIT-Masker: Efficient Online Distillation for Background MattingCode1
Object Segmentation Without Labels with Large-Scale Generative ModelsCode1
Select, Supplement and Focus for RGB-D Saliency DetectionCode1
Interactive Two-Stream Decoder for Accurate and Fast Saliency DetectionCode1
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object DetectionCode1
Learning Selective Self-Mutual Attention for RGB-D Saliency DetectionCode1
Towards Mesh Saliency Detection in 6 Degrees of Freedom—0
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and ClassificationCode1
U^2-Net: Going Deeper with Nested U-Structure for Salient Object DetectionCode3
Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency DetectionCode1
Gradient-Induced Co-Saliency DetectionCode1
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational AutoencodersCode1
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images—0
DFNet: Discriminative feature extraction and integration network for salient object detectionCode1
Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level SaliencyCode0
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency DetectionCode1
Revisiting Saliency Metrics: Farthest-Neighbor Area Under CurveCode0
Unsupervised Discovery of Interpretable Directions in the GAN Latent SpaceCode1
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
CAGNet: Content-Aware Guidance for Salient Object DetectionCode1
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
Deep Learning for Light Field Saliency Detection—0
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency DetectionCode0
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
Towards High-Resolution Salient Object DetectionCode0
In defense of OSVOS—0
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency DetectionCode0
Contour Loss: Boundary-Aware Learning for Salient Object Segmentation—0
Region Refinement Network for Salient Object Detection—0
Saliency Detection With Fully Convolutional Neural Network—0
Light Field Saliency Detection with Deep Convolutional NetworksCode0
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