Researchers have developed Temporally Decomposable Image Representations (TDIR), a novel algorithm designed to learn representations that preserve temporal structure while remaining effective for image and object retrieval. TDIR achieves this by decomposing historical photographs into separate date and content components using orthogonal subspaces. This method allows for transitive operations on embedding spaces, enabling temporal information from one image to be injected into another without supervision, and has been validated on the task of Composed Image Retrieval for historical photographs. AI
IMPACT Introduces a novel method for image retrieval that better preserves temporal information, potentially improving navigation of historical archives.
RANK_REASON The cluster contains a research paper detailing a new algorithm for image retrieval. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.IR (Information Retrieval) →
- Adrià Molina Rodríguez
- alphaXiv
- arXiv
- CatalyzeX Code Finder for Papers
- Composed Image Retrieval
- computer science
- Computer vision and pattern recognition
- cs.IR
- DagsHub
- Gotit.pub
- Hugging Face
- TDiR
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