Composed Image Retrieval
PulseAugur coverage of Composed Image Retrieval — every cluster mentioning Composed Image Retrieval across labs, papers, and developer communities, ranked by signal.
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New IMAGINE network enhances video retrieval with implicit semantics
Researchers have developed IMAGINE, a novel network designed for Composed Video Retrieval (CVR) and Composed Image Retrieval (CIR). This system addresses the limitation of existing methods by incorporating implicit sema…
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COMBINER network improves image retrieval with attribute-based relations
Researchers have developed COMBINER, a novel network for composed image retrieval that addresses the challenge of visually similar but semantically different images. The system utilizes attribute prototypes to create a …
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New framework tackles ambiguity in image retrieval with clarifying questions
Researchers have introduced a new framework for Composed Image Retrieval (CIR) that addresses the inherent ambiguity in queries. Unlike previous systems that assume a single target image, this approach reframes CIR as c…
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New benchmark and dataset advance satellite image retrieval
Researchers have developed a new benchmark for Composed Image Retrieval (CIR) specifically tailored for Earth Observation (EO) data. This benchmark evaluates existing CIR methods on satellite imagery, revealing that tra…
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CIR benchmarks overestimate AI model composition abilities
A new research paper questions the effectiveness of current benchmarks for Composed Image Retrieval (CIR), a task requiring models to combine image and text information. The study found that many existing CIR benchmarks…
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TEMA architecture improves composed image retrieval with multi-modification capabilities
Researchers have introduced TEMA, a novel Text-oriented Entity Mapping Architecture designed to improve Composed Image Retrieval (CIR). This new framework addresses limitations in existing CIR systems, such as insuffici…
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Air-Know network tackles composed image retrieval with novel expert-proxy-diversion paradigm
Researchers have introduced Air-Know, a novel network designed to tackle the Composed Image Retrieval (CIR) challenge, specifically addressing the Noisy Triplet Correspondence (NTC) problem. Existing methods struggle wi…