MIT/Tuebingen Saliency Benchmark

Leaderboard CAT2000

Click on a metric name to sort that metric. Models evaluated as probabilistic models are shown with green background. The performance under the metric which a model has been trained on is shown in italic. The code for evaluation models can be found here.

Name Published Code IG AUC sAUC NSS CC KLDiv SIM Date tested

http://cseweb.ucsd.edu/~l6zhang/

Lingyun Zhang, Matthew H. Tong, Tim K. Marks, Honghao Shan, Garrison W. Cottrell. SUN: A Bayesian framework for saliency using natural statistics [JoV 2008]

matlab

0.7128 0.5815 0.8127 0.2902 2.3353 0.3982 First tested 2021-04-07
Last tested 2021-04-07

maps from code via SMILER. Params: rescale=0.5

Saliency Detection by Self-Resemblance (SSR)

Hae Jong Seo, Peyman Milanfar Nonparametric Bottom-Up Saliency Detection by Self-Resemblance [CVPR 2009].

0.7209 0.5943 0.8543 0.3047 1.7459 0.4110 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

Quaternion-Based Spectral Saliency (QSS)

B. Schauerte, R. Stiefelhagen. Quaternion-based Spectral Saliency Detection for Eye Fixation Prediction [ECCV 2012]

matlab

0.7510 0.6132 0.8368 0.3015 1.2136 0.4065 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

AIM

Neil Bruce, John Tsotsos. Attention based on information maximization [JoV 2007]

matlab

0.7547 0.6092 0.9680 0.3479 1.3744 0.4093 First tested 2021-04-07
Last tested 2021-04-07

maps from code via SMILER. Params: resize=0.5, thebasis='31infomax975'

OpenSALICON

Christopher Lee Thomas. OpenSalicon: An Open Source Implementation of the Salicon Saliency Model [arXiv 2016]

python (caffe)

0.7627 0.6341 1.1985 0.4142 1.1731 0.4573 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

Dynamic Visual Attention (DVA)

Hou, Xiaodi, and Liqing Zhang. Dynamic visual attention: Searching for coding length increments NIPS 2008

matlab

0.7664 0.6089 1.0686 0.3778 1.3032 0.4438 First tested 2021-03-31
Last tested 2021-03-31

maps from SMILER

RARE2012

Nicolas Riche, Matei Mancas, Matthieu Duvinage, Makiese Mibulumukini, Bernard Gosselin, Thierry Dutoit. RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis [Signal Processing: Image Communication, 2013]

matlab

0.7689 0.6108 1.0960 0.3914 1.1489 0.4382 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

Image Signature

Xiaodi Hou, Jonathan Harel, Christof Koch. Image Signature: Highlighting Sparse Salient Regions [PAMI 2011]

matlab

0.7704 0.6082 1.0864 0.3898 1.1073 0.4283 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

Context-Aware Saliency

Stas Goferman, Lihi Zelnik-Manor, Ayellet Tal. Context-Aware Saliency Detection [CVPR 2010] [PAMI 2012]

matlab

0.7775 0.5939 1.0901 0.3934 1.1093 0.4408 First tested 2021-03-31
Last tested 2021-03-31

maps from SMILER

Boolean Map based Saliency (BMS)

Jianming Zhang, Stan Sclaroff. Saliency detection: a boolean map approach [ICCV 2013]

matlab, executable

0.7826 0.6267 1.1879 0.4190 1.2060 0.4615 First tested 2021-03-31
Last tested 2021-03-31

maps from SMILER

ML-Net

Marcella Cornia, Lorenzo Baraldi, Giuseppe Serra, Rita Cucchiara. A Deep Multi-Level Network for Saliency Prediction [ICPR 2016]

python

0.7852 0.6318 1.3280 0.4631 1.1078 0.4774 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

IttiKoch2

Implementation by Jonathan Harel (part of GBVS toolbox)

matlab

0.7916 0.5954 1.1945 0.4318 1.0269 0.4505 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

Graph-Based Visual Saliency (GBVS)

Jonathan Harel, Christof Koch, Pietro Perona. Graph-Based Visual Saliency [NIPS 2006]

matlab

0.7979 0.5863 1.2342 0.4460 1.0169 0.4594 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

Deep Visual Attention (DVA)

W. Wang, and J. Shen. Deep Visual Attention Prediction [IEEE TIP 2018]

matlab (caffe)

0.8000 0.6253 1.4287 0.5033 0.9931 0.4924 First tested 2021-03-31
Last tested 2021-03-31

maps from SMILER

SalGAN

Junting Pan, Cristian Canton, Kevin McGuinness, Noel E. O'Connor, Jordi Torres, Elisa Sayrol and Xavier Giro-i-Nieto. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks [arXiv 2017]

python

0.8085 0.6354 1.4624 0.5207 1.1155 0.4921 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

Fast and Efficient Saliency (FES)

Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkila. Fast and efficient saliency detection using sparse sampling and kernel density estimation [SCIA 2011]

matlab

0.8212 0.5450 1.6103 0.5799 2.6123 0.5255 First tested 2021-03-31
Last tested 2021-03-31

maps from SMILER

LDS

Shu Fang, Jia Li, Yonghong Tian, Tiejun Huang, Xiaowu Chen. Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis [TNNLS 2016]

matlab

0.8281 0.5669 1.5356 0.5574 1.0453 0.5267 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

CovSal

Erkut Erdem, Aykut Erdem. Visual saliency estimation by nonlinearly integrating features using region covariances [JoV 2013]

matlab

0.8402 0.5570 1.7411 0.6251 1.5630 0.5603 First tested 2021-03-31
Last tested 2021-03-31

maps from SMILER

Ensembles of Deep Networks (eDN)

Eleonora Vig, Michael Dorr, David Cox. Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images [CVPR 2014]

python

0.8470 0.5782 1.2092 0.4482 1.1856 0.3997 First tested 2021-04-01
Last tested 2021-04-01

maps from SMILER

Baseline models