Showing 9 open source projects for "layer"

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  • 1
    CAM

    CAM

    Class Activation Mapping

    This repository implements Class Activation Mapping (CAM), a technique to expose the implicit attention of convolutional neural networks by generating heatmaps that highlight the most discriminative image regions influencing a network’s class prediction. The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light modifications). Sample scripts/examples using standard architectures. The repo provides example code and instructions for applying CAM to existing CNN architectures. Visualization of discriminative regions per class.
    Downloads: 0 This Week
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  • 2

    lpACLib

    An Open-Source Library for Low-Power Approximate Computing Modules

    ...This open-source library facilitates research and development in approximate computing at higher abstraction levels, and to facilitate reproducible research and comparisons. In case of usage, please refer to our publication: Muhammad Shafique, Rehan Hafiz, Semeen Rehman, Walaa El-Harouni, Jörg Henkel, "Cross-Layer Approximate Computing: From Logic to Architectures", Design Automation Conference (DAC), 2016. Contributors: Authors, Vanshika Baoni, M. Abdullah Hanif http://ces.itec.kit.edu/lpACLib.php
    Downloads: 1 This Week
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  • 3
    CRFasRNN

    CRFasRNN

    Semantic image segmentation method described in the ICCV 2015 paper

    ...This software allows you to test our algorithm on your own images – have a try and see if you can fool it, if you get some good examples you can send them to us. CRF-RNN has been developed as a custom Caffe layer named MultiStageMeanfieldLayer. Usage of this layer in the model definition prototxt file looks the following. Check the matlab-scripts or the python-scripts folder for more detailed examples.
    Downloads: 0 This Week
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  • 4
    Netvlad

    Netvlad

    NetVLAD: CNN architecture for weakly supervised place recognition

    NetVLAD is a deep learning-based image descriptor framework developed by Relja Arandjelović for place recognition and image retrieval. It extends standard CNNs with a trainable VLAD (Vector of Locally Aggregated Descriptors) layer to create compact, robust global descriptors from image features. This implementation includes training code and pretrained models using the Pittsburgh and Tokyo datasets.
    Downloads: 1 This Week
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  • 5

    Folder

    Toolbox for modelling deformation in layered media in 2D

    ...Folder contains a separate application, which illustrates analytical solutions of growth rate spectra for buckling and necking of a single viscous layer. Check out the companion paper: doi:10.1016/j.jsg.2016.01.001
    Downloads: 0 This Week
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  • 6
    Fast and multi platform reader of network traces, have possible to shared date in screen, file or Matlab
    Downloads: 0 This Week
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  • 7
    PeterHi is an initiative to provide a set of tools for education based on your existing IT infrastructure.
    Downloads: 0 This Week
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  • 8
    primeHandle is a set of data management tools in support of the PrIMe Initiative (http://primekinetics.org). primeHandle includes graphical user interfaces for searching through data collections, editing and submitting data to the PrIMe Data Depository.
    Downloads: 0 This Week
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  • 9
    mYm is a Matlab interface to MySQL server. It is based on the original 'MySQL and Matlab' by Robert Almgren and adds the support for BLOBs. That is, it can insert matlab objects (e.g. array, structure, cell) into BLOB fields.
    Downloads: 1 This Week
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