Salient Object Detection in the Deep Learning Era: An In-Depth Survey
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Updated
Jan 9, 2021
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
[TPAMI] Automatic Gaze Analysis ‘in-the-wild’: A Survey
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects (ACCV 2018, accepted as oral)
[WACV2025] SUM: Saliency Unification through Mamba for Visual Attention Modeling
Salient Object Detection Driven by Fixation Prediction (CVPR2018)
Deep learning model for supervised video summarization called Multi Source Visual Attention (MSVA)
Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.
Chainer implementation of Deepmind's Visual Attention Model paper
Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'
This repository contains homework assignments and projects completed for the course "Advanced Topics in Neuroscience" instructed by Dr. Ali Ghazizadeh at Sharif University of Technology.
COMIC: This is the code repo of our TMM2019 work titled "COMIC: Towards a Compact Image Captioning Model with Attention".
Image caption models using visual attention and reinforcement learning (The 4th place solution to the AIChallenger Contest, Image Caption Track by team xiaoquexing)
Implementation of a Multimodal Neural Network for Image Captioning in Tensorflow.
Visual Attentive GAN Project
Where do people look on images in average? At rare, thus surprising things! Let's compute them automatically
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