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)

Salient Object Detection Driven by Fixation Prediction (CVPR2018)

Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"

[WACV2025] SUM: Saliency Unification through Mamba for Visual Attention Modeling

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

STRAL-Net

ECCV-AIM 2024 Challenge on Video Saliency Prediction

This research is based on efficient saliency detection using deformable convolutions.