Revisit Anything
Revisit Anything offers powerful tools for seamless website resurfacing and content restoration using advanced AI technology enhancing user experience and site relevance.
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What is Revisit Anything?
Revisit Anything is a visual location recognition system that uses image fragment retrieval technology to identify and match locations across different images. It combines SAM (Spatial Attention Module) and DINO (Distributed Knowledge Distillation) technologies to improve accuracy and efficiency in visual recognition. This system is valuable for applications in robotics navigation and autonomous driving.
Who Can Use It?
The primary users include researchers and developers in computer vision as well as those working on visual location recognition for robots and autonomous driving systems. Revisit Anything offers a comprehensive solution to enhance the accuracy and efficiency of these systems.
Example Scenarios:
In an autonomous vehicle, Revisit Anything can be used for environmental recognition.
In a robot navigation system, it can assist with path planning.
In geographic information systems, it can be used for image matching.
Key Features:
Uses SAM and DINO for image feature extraction.
Supports multiple datasets like Baidu, VPAir, pitts, and 17places.
Provides pre-processing scripts to simplify data preparation.
Supports generating VLAD cluster centers.
Supports PCA dimensionality reduction.
Offers complete training and testing scripts for experiments.
Supports offline result saving for further analysis.
How to Use It:
1. Set the dataset storage path.
2. Prepare the dataset and rename folders.
3. Download and place pre-processed data.
4. Run the DINO/SAM extraction script to extract image features.
5. Optionally generate VLAD cluster centers.
6. Run the PCA extraction script for dimensionality reduction.
7. Execute the main SegVLAD pipeline script to get final results.
8. Optionally save descriptors for offline recall computation.
