• SUN

  • Referenced in 13 articles [sw28156]
  • resulting model is a Bayesian framework from which bottom-up saliency emerges naturally ... framework demonstrates that our model’s bottom-up saliency maps perform as well ... this reason, we call our model SUN (Saliency Using Natural statistics). A measure of saliency ... consistent with these asymmetries. In our model, saliency is computed locally, which is consistent with...
  • OpenSALICON

  • Referenced in 2 articles [sw25869]
  • open source implementation of the SALICON saliency model cited below. Huang, X., Shen, C., Boix ... SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks. In Proceedings ... understanding and predicting visual attention. Conventional saliency models typically rely on low-level image statistics ... compare our method with 14 saliency models on 6 public eye tracking benchmark datasets. Results...
  • SMILER

  • Referenced in 1 article [sw28153]
  • Saliency Model Implementation Library for Experimental Research (SMILER) is a software package which provides ... framework for maintaining and executing computational saliency models. This work drastically reduces the human effort ... launch SMILER already includes twenty three saliency models (fourteen models based in MATLAB and nine...
  • PISA

  • Referenced in 2 articles [sw27597]
  • treatment, our PISA approach directly performs saliency modeling for each individual pixel and makes ... densely overlapping, feature-adaptive observations for saliency measure computation. We further impose a spatial prior...
  • DeepGaze II

  • Referenced in 1 article [sw28154]
  • predicts where people look in images. The model uses the features from ... objects in images. Contrary to other saliency models that use deep features, here ... features to predict saliency). The model is therefore a strong test of transfer learning. After...
  • Characterness

  • Referenced in 2 articles [sw28333]
  • sense, our approach mirrors the move from saliency detection methods to measures of objectness ... then design a Markov random field model so as to exploit the inherent dependencies between ... superior than state-of-the-art saliency detection models when applied to the same task...
  • Saliency Benchmark

  • Referenced in 3 articles [sw25911]
  • Saliency Benchmark Results: MIT300. The following are results of models evaluated on their ability...
  • DeepFix

  • Referenced in 2 articles [sw25895]
  • which characterize the saliency map using various hand-crafted features, our model automatically learns features ... hierarchical fashion and predicts saliency map in an end-to-end manner. DeepFix is designed ... spatially invariant which prevents them from modeling location dependent patterns (e.g. centre-bias). Our network...
  • SalGAN

  • Referenced in 1 article [sw28155]
  • deep convolutional neural network for visual saliency prediction trained with adversarial examples. The first stage ... network consists of a generator model whose weights are learned by back-propagation computed from ... loss over downsampled versions of the saliency maps. The resulting prediction is processed ... solve a binary classification task between the saliency maps generated by the generative stage...
  • keras-vis

  • Referenced in 1 article [sw34737]
  • keras neural net models. Currently supported visualizations include: Activation maximization; Saliency maps; Class activation maps ... image inputs to your model. The toolkit generalizes all of the above as energy minimization...
  • DHSNet

  • Referenced in 1 article [sw36673]
  • Deep Hierarchical Saliency Network for Salient Object Detection. Traditional salient object detection models often ... novel end-to-end deep hierarchical saliency network (DHSNet) based on convolutional neural networks...
  • SuperCNN

  • Referenced in 2 articles [sw36672]
  • Network for Salient Object Detection. Existing computational models for salient object detection primarily rely ... proposed to learn the internal representations of saliency in an efficient manner. In contrast...
  • SkipNet

  • Referenced in 1 article [sw31369]
  • while preserving the accuracy of the original model on four benchmark datasets and outperforms ... reveal a relationship between image scale and saliency and the number of layers skipped...
  • Rescape

  • Referenced in 2 articles [sw08830]
  • REsCape: an Agent-Based Framework for Modeling Resources, Ethnicity, and Conflict. This research note provides ... ethnic polarization, and varying degrees of ethnic salience; as well as (iii) specific modes...
  • Termite

  • Referenced in 0 articles [sw21633]
  • visual analysis tool for assessing topic model quality. Termite uses a tabular layout to promote ... across latent topics. We contribute a novel saliency measure for selecting relevant terms...
  • FCLib

  • Referenced in 2 articles [sw00267]
  • We describe a data analysis toolkit constructed to...
  • Matlab

  • Referenced in 12309 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • R

  • Referenced in 8601 articles [sw00771]
  • R is a language and environment for statistical...
  • STRIPACK

  • Referenced in 29 articles [sw00921]
  • Algorithm 772: STRIPACK: Delaunay triangulation and Voronoi diagram...
  • UCI-ml

  • Referenced in 3100 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...