资源分类
》 资源 》算法》Deep Learning of Binary Hash Codes for Fast Image Retrieval

Deep Learning of Binary Hash Codes for Fast Image Retrieval

2019-09-11 | |  132 |   0 |   0

We present an effective deep learning framework to create the hash-like binary codes for fast image retrieval. The details can be found in the following "CVPRW'15 paper":

Deep Learning of Binary Hash Codes for Fast Image Retrieval
K. Lin, H.-F. Yang, J.-H. Hsiao, C.-S. Chen
CVPR 2015, DeepVision workshop

please cite the paper if you use the model:
* caffe-cvprw15: See our code release on Github, which allows you to train your own deep hashing model and create binary hash codes.
* CIFAR10-48bit: Proposed 48-bits CNN model trained on CIFAR10.

无链接

上一篇：Fully Convolutional Networks for Semantic Segmentation

下一篇：GoogLeNet_cars on car model classification

用户评价
全部评价

热门资源

  • TensorFlow-Course

    This repository aims to provide simple and read...

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • mxnet_VanillaCNN

    This is a mxnet implementation of the Vanilla C...

  • DuReader_QANet_BiDAF

    Machine Reading Comprehension on DuReader Usin...

  • Klukshu-Sockeye-...

    KLUKSHU SOCKEYE PROJECTS 2016 This repositor...