Results 51 to 60 of about 1,305,191 (158)
Deep Visual Attention Prediction
, 2018 In this work, we aim to predict human eye fixation with view-free scenes based on an end-to-end deep learning architecture. Although Convolutional Neural Networks (CNNs) have made substantial improvement on human attention prediction, it is still needed ...
Shen, Jianbing, Wang, Wenguan
core +1 more source
A Subquadratic Approximation Scheme for Partition
, 2019 The subject of this paper is the time complexity of approximating Knapsack, Subset Sum, Partition, and some other related problems. The main result is an $\widetilde{O}(n+1/\varepsilon^{5/3})$ time randomized FPTAS for Partition, which is derived from a ...
Mucha, Marcin +2 more
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Age and Gender prediction using Convolution, ResNet50 and Inception ResNetV2
International Journal of Advanced Trends in Computer Science and Engineering, 2020 Age and gender prediction are used extensively in the field of computer vision for surveillance. Advancement in computer vision makes this prediction even more practical and open to all, thus enables the world to come up with datasets, one of which, used
Avuthu Sai Meghana
semanticscholar +1 more source
, 2018 Modeling statistical regularity plays an essential role in ill-posed image processing problems. Recently, deep learning based methods have been presented to implicitly learn statistical representation of pixel distributions in natural images and leverage
Barnard Kobus +6 more
core +1 more source
A Convolutional Neural Network into graph space [PDF]
arXiv, 2020 Convolutional neural networks (CNNs), in a few decades, have outperformed the existing state of the art methods in classification context. However, in the way they were formalised, CNNs are bound to operate on euclidean spaces. Indeed, convolution is a signal operation that are defined on euclidean spaces.
arxiv
Over speed detection using Artificial Intelligence [PDF]
, 2019 Over speeding is one of the most common traffic violations. Around 41 million people are issued speeding tickets each year in USA i.e one every second. Existing approaches to detect over- speeding are not scalable and require manual efforts.
Patira, Samkit
core +1 more source
Deeply-Supervised CNN for Prostate Segmentation
, 2017 Prostate segmentation from Magnetic Resonance (MR) images plays an important role in image guided interven- tion. However, the lack of clear boundary specifically at the apex and base, and huge variation of shape and texture between the images from ...
Choyke, Peter L . +4 more
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SGLFormer: Spiking Global-Local-Fusion Transformer with high performance
Frontiers in NeuroscienceIntroductionSpiking Neural Networks (SNNs), inspired by brain science, offer low energy consumption and high biological plausibility with their event-driven nature.
Han Zhang +11 more
doaj +1 more source
An Emotion Analysis Method Using Multi-Channel Convolution Neural Network in Social Networks
Computer Modeling in Engineering & Sciences, 2020 : As an interdisciplinary comprehensive subject involving multi-disciplinary knowledge, emotional analysis has become a hot topic in psychology, health medicine and computer science. It has a high comprehensive and practical application value.
Xinxin Lu, Hong Zhang
semanticscholar +1 more source
Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network
, 2018 Single Shot MultiBox Detector (SSD) is one of the fastest algorithms in the current object detection field, which uses fully convolutional neural network to detect all scaled objects in an image. Deconvolutional Single Shot Detector (DSSD) is an approach
Cheng-Yang +14 more
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