PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrics

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)

Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

Unified Image and Video Saliency Modeling (ECCV 2020)

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

Video Salient Object Detection via Fully Convolutional Networks (TIP18)

A Deep Multi-Level Network for Saliency Prediction. ICPR 2016

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

Deep Visual Attention Prediction (TIP18)

TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing (2022)

[AAAI’2025] SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention

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

ECCV-AIM 2024 Challenge on Video Saliency Prediction

[ICCV 2021] Deep Reinforced Accident Anticipation with Visual Explanation

STRAL-Net

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

Towards Audio-Visual Saliency Prediction for Omnidirectional Video with Spatial Audio

The official PyTorch implementation of IEEE Transactions on Image Processing 2021 paper "Rethinking the U-shape Structure for Salient Object Detection"

Multi-task UNet for medical image classification and saliency prediction

Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection

Saliency-driven Experience Replay for Continual Learning (NeurIPS2024)

reference implementation of Real-time Salient Object Detection based on Division of Gaussians [Katramados/Breckon, 2011]

a CNN-Transformer based driver fixation prediction model / 基于Transformer的驾驶员注视点预测模型

This project provides the code for 'Global Semantic-Guided Network for Saliency Prediction', Knowledge-Based Systems.

Where do people look on images in average? At rare, thus surprising things! Let's compute them automatically