Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
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Updated
May 28, 2024 - Python
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
[IEEE TII] On-Device Saliency Prediction Based on Pseudoknowledge Distillation
Predict areas of high visual importance
This project provides the code for 'Audio-Visual Saliency Prediction with Multisensory Perception and Integration', Image and Vision Computing, 2024.
This research is based on efficient saliency detection using deformable convolutions.
This project provides the code for 'Global Semantic-Guided Network for Saliency Prediction', Knowledge-Based Systems.
Unified Image and Video Saliency Modeling (ECCV 2020)
Crop and bound-box interesting parts of images using saliency maps generated with Attentive Convolutional LSTM Residual Network
A study into fixation utilizing the CAT2000 dataset and pix2pix GANs.
reference implementation of Real-time Salient Object Detection based on Division of Gaussians [Katramados/Breckon, 2011]
Deep convolutional network for saliency prediction, implemented by PyTorch
[ICCV 2021] Deep Reinforced Accident Anticipation with Visual Explanation
This project uses Deep Learning to extract Salient text from an image using State-of-the-Art Vision Transformer Architecture.
Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"
The official PyTorch implementation of IEEE Transactions on Image Processing 2021 paper "Rethinking the U-shape Structure for Salient Object Detection"
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
GASP: Gated Attention for Saliency Prediction (IJCAI-21)
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