Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
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Updated
Dec 1, 2022 - Python
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
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'
COMIC: This is the code repo of our TMM2019 work titled "COMIC: Towards a Compact Image Captioning Model with Attention".
Implementation of a Multimodal Neural Network for Image Captioning in Tensorflow.
Visual Attentive GAN Project
Official Code for 'Exploring Language Prior for Mode-Sensitive Visual Attention Modeling' (ACM MM 2020)
Visual Attention : what is salient in an image with DeepRare2019
Implemenetation of 2016 paper "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention" on Flick30k dataset.
Tools for the paper of IEEE Journal on Emerging and Selected Topics in Circuits and Systems: Visual Attention-Aware Omnidirectional Video Streaming Using Optimal Tiles for Virtual Reality
A model of mixed neural networks for step-by-step processing of dynamic visual scenes, activity recognition and behavioral prediciton
Image captioning with Visual Attention
The scope of this research is to determine if there is any correlation between the level of experience of surgeons and their visual attention while performing surgeries.
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