Salient Object Detection in the Deep Learning Era: An In-Depth Survey
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Updated
Jan 9, 2021
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]
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
Unified Image and Video Saliency Modeling (ECCV 2020)
Video Salient Object Detection via Fully Convolutional Networks (TIP18)
A Deep Multi-Level Network for Saliency Prediction. ICPR 2016
Deep Visual Attention Prediction (TIP18)
TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing (2022)
[WACV2025] SUM: Saliency Unification through Mamba for Visual Attention Modeling
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
ECCV-AIM 2024 Challenge on Video Saliency Prediction
This research is based on efficient saliency detection using deformable convolutions.
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