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 | |  164 |   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

  • DuReader_QANet_BiDAF

    Machine Reading Comprehension on DuReader Usin...

  • ETD_cataloguing_a...

    ETD catalouging project using allennlp

  • allennlp_extras

    allennlp_extras Some utilities build on top of...

  • allennlp-dureader

    An Apache 2.0 NLP research library, built on Py...

  • honk-honk-motherf...

    honk-honk-motherfucker