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Saliency Inside: Learning Attentive CNNs for Content-Based Image Retrieval

IEEE Transactions on Image Processing, 2019
In content-based image retrieval (CBIR), one of the most challenging and ambiguous tasks is to correctly understand the human query intention and measure its semantic relevance with images in the database.
Shikui Wei   +5 more
semanticscholar   +1 more source

Saliency guided adaptive image abstraction

2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2015
We have developed a novel method for image abstraction which preserves more details present in the salient regions and removes details present in the non-salient regions from the given image of a natural scene. We define a region to be salient based on the saliency measure estimated in the region.
Rajendra Nagar, Shanmuganathan Raman
openaire   +1 more source

Saliency Guided Image Detail Enhancement

2019 National Conference on Communications (NCC), 2019
The use of visual saliency for perceptual enhancement of images has drawn significant attention. In this paper, we explore the idea of selectively enhancing salient regions of an image. Moreover, we develop an algorithm based on adaptive bilateral filtering for this purpose.
Sanjay Ghosh   +2 more
openaire   +1 more source

Hierarchical Image Saliency Detection on Extended CSSD

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
Jianping Shi   +3 more
semanticscholar   +1 more source

Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis

IEEE Transactions on Neural Networks and Learning Systems, 2017
Shu Fang   +4 more
semanticscholar   +1 more source

Fruit and vegetables classification system using image saliency and convolutional neural network

2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC), 2017
Guoxiang Zeng
semanticscholar   +1 more source

Automated molecular-image cytometry and analysis in modern oncology

Nature Reviews Materials, 2020
Ralph Weissleder, Hakho Lee
exaly  

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee   +2 more
exaly  

Image saliency detection using Gabor texture cues

Multimedia tools and applications, 2016
Zhihua Chen   +5 more
semanticscholar   +1 more source

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