Exploiting surroundedness for saliency detection: a boolean map approach
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Updated
Jun 1, 2016 - C++
Exploiting surroundedness for saliency detection: a boolean map approach
Kernelized Subspace Ranking for Saliency Detection (Include Code and Maps)
Encoder-Decoder Architechture using VGG16 as base network
M. Beyeler (2015). OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python, Packt Publishing Ltd., ISBN 978-178528269-0.
Senior Design Project for Khalifa University
Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
Deep convolutional network for saliency prediction, implemented by PyTorch
An implementation of Zhang and Sclaroff's Boolean Map Saliency algorithm. http://cs-people.bu.edu/jmzhang/BMS/BMS_iccv13_preprint.pdf.
Modelos de Atención Visual Multiespectral y RGB basados en Deep Learning
A simple yet effective approach to detecting visual anomalies
Saliency system to model the behaviour of human eye gaze using deep learning. The model uses pre-trained VGG like backbone network and upsamples the high level features extracted from various intermediate layers using bilinear interpolation.
An integrated segmentation based pipeline for image inpainting.
A project for co-saliency detection. Some codes are borrowed from ICNet. Thanks to ICNet Intra-saliency Correlation Network for Co-Saliency Detection (NIPS2020)~
Code for "Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model", ECCV 2020
A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding
An Innovative Saliency Guided RoI Selection Model for Panoramic Images Compression
This is the GitHub page for the QoMEX 2018 paper: Visual Attention in Omnidirectional Video for Virtual Reality Applications
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