Shypd.aiThe largest open index of AI toolscaffe-cvprw15 is an open-source deep learning framework for creating binary hash codes for fast image retrieval. It enables researchers to learn domain-specific image representations and hash functions.
Trending
Also listed in
About
caffe-cvprw15 is a deep learning framework developed by Kevin Lin, Huei-Fang Yang, and Chu-Song Chen for fast image retrieval. It introduces a novel approach to generate hash-like binary codes by adding a latent-attribute layer to a deep Convolutional Neural Network (CNN). This method efficiently learns domain-specific image representations and hash functions without relying on pairwise similarities, making it highly scalable for large datasets. The framework has demonstrated significant improvements in retrieval precision on datasets like MNIST and CIFAR-10, and its computational cost for Hamming distance calculation is substantially lower than traditional Euclidean distance measures, offering a speedup of approximately 982,600x. It provides resources for downloading pre-trained models and datasets, and includes scripts for training custom models.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
