Where do people look on images in average? At rare, thus surprising things! Let's compute them automatically
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Updated
Jun 14, 2020
Where do people look on images in average? At rare, thus surprising things! Let's compute them automatically
RARE2007 is a feature-engineered bottom-up salienct model only using color information (no orientation)
attention-guided deep reinforcement learning project, NMA2022 deep learning track
This project uses Deep Learning to extract Salient text from an image using State-of-the-Art Vision Transformer Architecture.
This project provides the code for 'Audio-Visual Saliency Prediction with Multisensory Perception and Integration', Image and Vision Computing, 2024.
Encoder-Decoder Architechture using VGG16 as base network
[IEEE TII] On-Device Saliency Prediction Based on Pseudoknowledge Distillation
This project provides the code for 'Global Semantic-Guided Network for Saliency Prediction', Knowledge-Based Systems.
GASP: Gated Attention for Saliency Prediction (IJCAI-21)
A study into fixation utilizing the CAT2000 dataset and pix2pix GANs.
Deep convolutional network for saliency prediction, implemented by PyTorch
a CNN-Transformer based driver fixation prediction model / 基于Transformer的驾驶员注视点预测模型
RARE2012 is a feature-engineered bottom-up visual attention model
Modelos de Atención Visual Multiespectral y RGB basados en Deep Learning
Code for "Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model", ECCV 2020
Multi-task UNet for medical image classification and saliency prediction
Visual Attention : what is salient in an image with DeepRare2019
Temporal recurrences for video saliency prediction (BMVC 2019)
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