SOTAVerified

Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 9851–9875 of 14297 papers

TitleStatusHype
Cross-Modal 3D Representation with Multi-View Images and Point Clouds—0
Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models—0
Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval—0
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization—0
Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval—0
Cross-modal Center Loss—0
Cross-Modal Center Loss for 3D Cross-Modal Retrieval—0
Cross-modal Common Representation Learning by Hybrid Transfer Network—0
Cross-modal Contrastive Learning for Speech Translation—0
Cross-Modal Coordination Across a Diverse Set of Input Modalities—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
Cross-Modal Deep Variational Hashing—0
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval—0
Cross-Modal Discrete Representation Learning—0
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism—0
Cross-Modal Hamming Hashing—0
Cross-modal Image Retrieval with Deep Mutual Information Maximization—0
Cross-Modality Binary Code Learning via Fusion Similarity Hashing—0
Cross-Modality Personalization for Retrieval—0
Cross-Modal Learning via Pairwise Constraints—0
Cross-Modal Manifold Learning for Cross-modal Retrieval—0
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies—0
Cross-modal Place Recognition in Image Databases using Event-based Sensors—0
Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval—0
A New Fine-grained Alignment Method for Image-text Matching—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified