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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
USING THE DISCOUNT CODE "MKT30"
30% DISCOUNT!
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