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Caffe: Convolutional Architecture for Fast Feature Embedding …

https://fid3024.github.io/papers/2014%20-%20Caffe:%20Convolutional%20Architecture%20for%20Fast%20Feature%20Embedding.pdf

neered features were lacking entirely. We are particularly motivated by large-scale visual recog-nition, where a speci c type of deep architecture has achieved a commanding lead on the state …


BVLC/caffe: Caffe: a fast open framework for deep …

https://github.com/BVLC/caffe

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research ( BAIR )/The Berkeley Vision and Learning Center …


Caffe: Convolutional Architecture for Fast Feature …

https://dl.acm.org/doi/10.1145/2647868.2654889

ABSTRACT. Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for state-of-the-art deep learning algorithms and a collection of reference models. The framework is a BSD …


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Caffe: Convolutional Architecture for Fast Feature …

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Caffe: Convolutional Architecture for Fast Feature …

https://paperswithcode.com/paper/caffe-convolutional-architecture-for-fast

Caffe: Convolutional Architecture for Fast Feature Embedding. 20 Jun 2014 · Yangqing Jia , Evan Shelhamer , Jeff Donahue , Sergey Karayev , Jonathan Long , Ross Girshick , Sergio Guadarrama , Trevor Darrell ·. Edit …


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Caffe: Convolutional Architecture for Fast Feature Embedding

https://arxiv.org/abs/1408.5093v1

Caffe: Convolutional Architecture for Fast Feature Embedding. Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, …


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Caffe: Convolutional Architecture for Fast Feature Embedding∗

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Caffe: Convolutional Architecture for Fast Feature Embedding

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Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia , Evan Shelhamer , Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, …


CiteSeerX — Caffe: Convolutional architecture for fast feature …

https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.758.5964

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for state-of-the …


Caffe: Convolutional Architecture for Fast Feature Embedding

https://www.icsi.berkeley.edu/icsi/node/5361

Caffe: Convolutional Architecture for Fast Feature Embedding. Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for state-of-the-art deep …


Caffe: Convolutional Architecture for Fast Feature Embedding

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Caffe: Convolutional Architecture for Fast Feature Embedding

https://typeset.io/papers/caffe-convolutional-architecture-for-fast-feature-embedding-1hzgdvnnfu

Caffe: Convolutional Architecture for Fast Feature Embedding. Abstract: Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for …


Caffe: Convolutional Architecture for Fast Feature Embedding

https://ui.adsabs.harvard.edu/abs/2014arXiv1408.5093J/abstract

Caffe: Convolutional Architecture for Fast Feature Embedding. Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for state-of-the-art deep …


Caffe: Convolutional Architecture for Fast Feature Embedding

https://www.semanticscholar.org/paper/Caffe%3A-Convolutional-Architecture-for-Fast-Feature-Jia-Shelhamer/6bdb186ec4726e00a8051119636d4df3b94043b5

This paper proposes a flexible HW/SW co-design framework for both fast and high-throughput CNN prototyping with commercial high-level OpenCL language and the standard …


Research Code for Caffe: Convolutional Architecture for Fast …

https://researchcode.com/code/1633550344/caffe-convolutional-architecture-for-fast-feature-embedding/

Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for state-of-the-art deep learning algorithms and a collection of reference models. The framework …


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