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Convolution

Known as: Convolve, Carson's integral, Continuous-time convolution 
In mathematics (and, in particular, functional analysis) convolution is a mathematical operation on two functions (f and g); it produces a third… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
In recent years, the image and video coding technologies have advanced by leaps and bounds. However, due to the popularization of… Expand
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Review
2019
Review
2019
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas, such as… Expand
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Review
2019
Review
2019
The visual saliency detection model simulates the human visual system to perceive the scene and has been widely used in many… Expand
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Highly Cited
2017
Highly Cited
2017
We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC… Expand
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Highly Cited
2017
Highly Cited
2017
In this work, we revisit atrous convolution, a powerful tool to explicitly adjust filter's field-of-view as well as control the… Expand
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Highly Cited
2017
Highly Cited
2017
We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of… Expand
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Highly Cited
2017
Highly Cited
2017
In recent years, Discriminative Correlation Filter (DCF) based methods have significantly advanced the state-of-the-art in… Expand
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Highly Cited
2015
Highly Cited
2015
We propose a deep convolutional neural network architecture codenamed Inception that achieves the new state of the art for… Expand
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Highly Cited
2015
Highly Cited
2015
In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition… Expand
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Highly Cited
2001
Highly Cited
2001
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being… Expand
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