Download
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.
Features
- Trainable VLAD layer integrated into CNNs
- High-performance place recognition and retrieval
- Pretrained models and benchmark support
- PyTorch/Torch7-based implementations
- Evaluation scripts on standard datasets
- Includes feature extraction and descriptor matching
Project Samples
Categories
Computer Vision LibrariesLicense
MIT LicenseFollow Netvlad
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Netvlad!
