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General Motors - Object-centric open-vocabulary image retrieval with aggregated features

by Mr. Dan Levi

Computer Vision & Perception Lab Group Manager

Learn more about:

  • The challenges and motivation for open-vocabulary object-centric image retrieval when dealing with large automative image databases
  • How to effectively index images for retrieval by aggregating dense embeddings extracted from CLIP image encodings
  • How to use the proposed pipeline for large scale rare object retrieval

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