Speeding up convolutional neural networks with low rank expansions

Speeding up convolutional neural networks with low rank expansions

他のバージョン（1件）を表示する

The focus of this paper is speeding up the application of convolutional neural networks. While delivering impressive results across a range of computer vision and machine learning tasks, these networks are computationally demanding, limiting their deployability. Convolutional layers generally consum...

書誌詳細
主要な著者:	Jaderberg, M, Vedaldi, A, Zisserman, A
フォーマット:	Conference item
出版事項:	BMVA Press 2014

類似資料

Speeding up convolutional neural networks with low rank expansions
著者:: Jaderberg, M, 等
出版事項: (2014)

Reading text in the wild with convolutional neural networks
著者:: Jaderberg, M, 等
出版事項: (2014)

Reading text in the wild with convolutional neural networks
著者:: Jaderberg, M, 等
出版事項: (2015)

Synthetic data and artificial neural networks for natural scene text recognition
著者:: Jaderberg, M, 等
出版事項: (2014)

Synthetic data and artificial neural networks for natural scene text recognition
著者:: Jaderberg, M, 等
出版事項: (2014)

Deep features for text spotting
著者:: Jaderberg, M, 等
出版事項: (2014)

Speeding-up convolutional neural networks: A survey
著者:: V. Lebedev, 等
出版事項: (2018-12-01)

Deep structured output learning for unconstrained text recognition
著者:: Jaderberg, M, 等
出版事項: (2014)

Deep structured output learning for unconstrained text recognition
著者:: Jaderberg, M, 等
出版事項: (2015)

Deep inside convolutional networks: visualising image classification models and saliency maps
著者:: Simonyan, K, 等
出版事項: (2014)

Simultaneous object detection and ranking with weak supervision
著者:: Blaschko, MB, 等
出版事項: (2011)

Remarks on Speeding up the Digital Camera Identification using Convolutional Neural Networks
著者:: Jaroslaw Bernacki, 等
出版事項: (2023-11-01)

Visualizing deep convolutional neural networks using natural pre-images
著者:: Mahendran, A, 等
出版事項: (2016)

Stable Low-Rank CP Decomposition for Compression of Convolutional Neural Networks Based on Sensitivity
著者:: Chenbin Yang, 等
出版事項: (2024-02-01)

Automatically discovering and learning new visual categories with ranking statistics
著者:: Han, K, 等
出版事項: (2020)

Gather-excite: Exploiting feature context in convolutional neural networks
著者:: Hu, J, 等
出版事項: (2018)

Colorectal cancer detection based on convolutional neural networks (CNN) and ranking algorithm
著者:: A. Karthikeyan, 等
出版事項: (2024-02-01)

Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
著者:: Manish Sharma, 等
出版事項: (2025-01-01)

Return of the devil in the details: delving deep into convolutional nets
著者:: Chatfield, K, 等
出版事項: (2014)

Return of the devil in the details: delving deep into convolutional nets
著者:: Chatfield, K, 等
出版事項: (2014)

Using Low-Rank Approximations to Speed Up Kernel Logistic Regression Algorithm
著者:: Dajiang Lei, 等
出版事項: (2019-01-01)

Applying convolutional neural networks to speed up environmental DNA annotation in a highly diverse ecosystem
著者:: Benjamin Flück, 等
出版事項: (2022-06-01)

Data‐driven flood emulation: Speeding up urban flood predictions by deep convolutional neural networks
著者:: Zifeng Guo, 等
出版事項: (2021-03-01)

A Training Method for Low Rank Convolutional Neural Networks Based on Alternating Tensor Compose-Decompose Method
著者:: Sukho Lee, 等
出版事項: (2021-01-01)

Deep convolutional neural networks for efficient pose estimation in gesture videos
著者:: Pfister, T, 等
出版事項: (2015)

Modeling urban expansion by integrating a convolutional neural network and a recurrent neural network
著者:: Xinhao Pan, 等
出版事項: (2022-08-01)

FOV Expansion of Bioinspired Multiband Polarimetric Imagers With Convolutional Neural Networks
著者:: Yongqiang Zhao, 等
出版事項: (2018-01-01)

On Generalization Bounds for Neural Networks with Low Rank Layers
著者:: Pinto, Andrea, 等
出版事項: (2024)

The impact of sparsity in low-rank recurrent neural networks.
著者:: Elizabeth Herbert, 等
出版事項: (2022-08-01)

Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks
著者:: Taehyeon Kim, 等
出版事項: (2020-01-01)

Fully Convolutional Neural Network for Vehicle Speed and Emergency-Brake Prediction
著者:: Razvan Itu, 等
出版事項: (2023-12-01)

Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
著者:: Hongwei Ning, 等
出版事項: (2023-11-01)

Traffic flow speed prediction on transportation graph with convolutional neural networks
著者:: Nikolay G. Prokoptsev, 等
出版事項: (2018-06-01)

Low power convolutional neural network (CNN)
著者:: Lim, Wu Cong
出版事項: (2019)

Ranking-Based Convolutional Neural Network Models for Peptide-MHC Class I Binding Prediction
著者:: Ziqi Chen, 等
出版事項: (2021-05-01)

Cerebral Micro-Bleed Detection Based on the Convolution Neural Network With Rank Based Average Pooling
著者:: Shuihua Wang, 等
出版事項: (2017-01-01)

Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed Videos
著者:: Michael Döllinger, 等
出版事項: (2022-09-01)

Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie
著者:: Kaiwei Liang, 等
出版事項: (2018-01-01)

Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection
著者:: Tianwen Zhang, 等
出版事項: (2019-10-01)

A Convolutional Neural Network for Gender Recognition Optimizing the Accuracy/Speed Tradeoff
著者:: Antonio Greco, 等
出版事項: (2020-01-01)