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]
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
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
[WACV2025 Oral] SUM: Saliency Unification through Mamba for Visual Attention Modeling
TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing (2022)
Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"
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.
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
Multi-task UNet for medical image classification and saliency prediction
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]
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