There are 4 repositories under saliency-prediction topic.
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
Video Salient Object Detection via Fully Convolutional Networks (TIP18)
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
A Deep Multi-Level Network for Saliency Prediction. ICPR 2016
Deep Visual Attention Prediction (TIP18)
TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing (2022)
Salient Object Detection Driven by Fixation Prediction (CVPR2018)
Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"
Salient Object Detection with Pyramid Attention and Salient Edges (CVPR19)
Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision
[ICCV 2021] Deep Reinforced Accident Anticipation with Visual Explanation
This research is based on efficient saliency detection using deformable convolutions.
Towards Audio-Visual Saliency Prediction for Omnidirectional Video with Spatial Audio
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
reference implementation of Real-time Salient Object Detection based on Division of Gaussians [Katramados/Breckon, 2011]
Temporal recurrences for video saliency prediction (BMVC 2019)
Where do people look on images in average? At rare, thus surprising things! Let's compute them automatically
a CNN-Transformer based driver fixation prediction model / 基于Transformer的驾驶员注视点预测模型
Visual Attention : what is salient in an image with DeepRare2019
[IEEE TII] On-Device Saliency Prediction Based on Pseudoknowledge Distillation
RARE2007 is a feature-engineered bottom-up salienct model only using color information (no orientation)
RARE2012 is a feature-engineered bottom-up visual attention model
Crop and bound-box interesting parts of images using saliency maps generated with Attentive Convolutional LSTM Residual Network
Code for "Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model", ECCV 2020
This project uses Deep Learning to extract Salient text from an image using State-of-the-Art Vision Transformer Architecture.
Predict areas of high visual importance
This project provides the code for 'Global Semantic-Guided Network for Saliency Prediction', Knowledge-Based Systems.