Revisit Anything

Visual location recognition through image segment retrieval

CommonProductImageVisual location recognitionImage retrieval

Revisit Anything is a visual location recognition system that utilizes image segment retrieval technology to identify and match locations across different images. It combines SAM (Spatial Attention Module) and DINO (Distributed Knowledge Distillation) technologies to enhance the accuracy and efficiency of visual recognition. This technology holds significant application value in fields such as robotic navigation and autonomous driving.

Utilize SAM and DINO technologies for image feature extraction
Support various datasets including Baidu
VPAir
Pittsburgh
17places
etc.
Provide preprocessing scripts to streamline dataset preparation
Enable the generation of VLAD clustering centers
Support PCA for dimensionality extraction
Offer full training and testing scripts for experimental facilitation

\The primary target audience includes researchers and developers in the field of computer vision
as well as developers working on visual location recognition for robots and autonomous driving systems. Revisit Anything provides a comprehensive visual recognition solution that helps them enhance the accuracy and efficiency of their systems.\

Using Revisit Anything for environmental recognition in autonomous vehicles
Utilizing Revisit Anything for path planning in robotic navigation systems
Employing Revisit Anything for image matching in geographic information systems

1. Set the data storage path
2. Prepare the dataset and rename the folders
3. Download and place the preprocessed data
4. Run the DINO/SAM extraction script to extract image features
5. (Optional) Generate VLAD clustering centers

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