Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)
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Updated
Apr 29, 2019 - Python
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
Video Salient Object Detection via Fully Convolutional Networks (TIP18)
A Deep Multi-Level Network for Saliency Prediction. ICPR 2016
Unified Image and Video Saliency Modeling (ECCV 2020)
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
Deep Visual Attention Prediction (TIP18)
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"
TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing (2022)
Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision
Salient Object Detection Driven by Fixation Prediction (CVPR2018)
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
Salient Object Detection with Pyramid Attention and Salient Edges (CVPR19)
This research is based on efficient saliency detection using deformable convolutions.
The official PyTorch implementation of IEEE Transactions on Image Processing 2021 paper "Rethinking the U-shape Structure for Salient Object Detection"
Towards Audio-Visual Saliency Prediction for Omnidirectional Video with Spatial Audio
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