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COMBINER network improves image retrieval with attribute-based relations

By PulseAugur Editorial · [3 sources] ·

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 unified cross-modal representation, disentangling semantic features and composing them effectively. This approach improves the understanding of semantic relationships between images by employing an attribute prototype-based similarity metric, outperforming existing methods on benchmark datasets. AI

IMPACT Enhances image retrieval systems by better distinguishing between visually similar images with different attributes.

RANK_REASON The cluster contains a research paper detailing a new method for image retrieval.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

COMBINER network improves image retrieval with attribute-based relations

COVERAGE [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    COMBINER: Composed Image Retrieval Guided by Attribute-based Neighbor Relations

    Composed Image Retrieval (CIR) represents a challenging retrieval task that targets locating specific images through multimodal inputs. Despite recent progress in CIR techniques, prior approaches often overlook cases where images appear visually alike yet differ in attributes, po…

  2. arXiv cs.CV TIER_1 English(EN) · Zixu Li, Yupeng Hu, Zhiwei Chen, Haokun Wen, Xuemeng Song, Liqiang Nie ·

    COMBINER: Composed Image Retrieval Guided by Attribute-based Neighbor Relations

    arXiv:2606.04604v1 Announce Type: new Abstract: Composed Image Retrieval (CIR) represents a challenging retrieval task that targets locating specific images through multimodal inputs. Despite recent progress in CIR techniques, prior approaches often overlook cases where images ap…

  3. arXiv cs.CV TIER_1 English(EN) · Liqiang Nie ·

    COMBINER: Composed Image Retrieval Guided by Attribute-based Neighbor Relations

    Composed Image Retrieval (CIR) represents a challenging retrieval task that targets locating specific images through multimodal inputs. Despite recent progress in CIR techniques, prior approaches often overlook cases where images appear visually alike yet differ in attributes, po…

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