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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 7176–7200 of 14297 papers

TitleStatusHype
Exploiting Semantic Role Contextualized Video Features for Multi-Instance Text-Video Retrieval EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022Code0
Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning—0
Short-Term Plasticity Neurons Learning to Learn and ForgetCode1
Cooperative Retriever and Ranker in Deep RecommendersCode0
SImProv: Scalable Image Provenance Framework for Robust Content Attribution—0
Polarimetric phase retrieval: uniqueness and algorithms—0
PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving—0
RoME: Role-aware Mixture-of-Expert Transformer for Text-to-Video RetrievalCode0
Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation—0
Semantic Role Aware Correlation Transformer for Text to Video RetrievalCode0
Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems—0
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval—0
Inverted Semantic-Index for Image Retrieval—0
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning—0
SLIC: Self-Supervised Learning with Iterative Clustering for Human Action VideosCode1
Efficient and Accurate Top-K Recovery from Choice Data—0
A Novel Algorithm for Exact Concave Hull Extraction—0
Parallel Structure from Motion for UAV Images via Weighted Connected Dominating Set—0
Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle RetrievalCode1
ICC++: Explainable Image Retrieval for Art Historical Corpora using Image Composition Canvas—0
UniUD-FBK-UB-UniBZ Submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2022—0
Online Trajectory Prediction for Metropolitan Scale Mobility Digital Twin—0
Questions Are All You Need to Train a Dense Passage RetrieverCode1
Case Study: The Impact of Location on Bias in Search Results—0
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query GenerationCode1
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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