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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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