attention-guided deep reinforcement learning project, NMA2022 deep learning track
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Updated
Oct 9, 2022 - Jupyter Notebook
attention-guided deep reinforcement learning project, NMA2022 deep learning track
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
A study into fixation utilizing the CAT2000 dataset and pix2pix GANs.
Deep convolutional network for saliency prediction, implemented by PyTorch
Modelos de Atención Visual Multiespectral y RGB basados en Deep Learning
GASP: Gated Attention for Saliency Prediction (IJCAI-21)
Predict areas of high visual importance
This project uses Deep Learning to extract Salient text from an image using State-of-the-Art Vision Transformer Architecture.
Code for "Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model", ECCV 2020
This project provides the code for 'Global Semantic-Guided Network for Saliency Prediction', Knowledge-Based Systems.
RARE2007 is a feature-engineered bottom-up salienct model only using color information (no orientation)
[IEEE TII] On-Device Saliency Prediction Based on Pseudoknowledge Distillation
RARE2012 is a feature-engineered bottom-up visual attention model
Visual Attention : what is salient in an image with DeepRare2019
Crop and bound-box interesting parts of images using saliency maps generated with Attentive Convolutional LSTM Residual Network
Where do people look on images in average? At rare, thus surprising things! Let's compute them automatically
a CNN-Transformer based driver fixation prediction model / 基于Transformer的驾驶员注视点预测模型
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