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 1951–1975 of 14297 papers

TitleStatusHype
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic MusicCode1
Learning Super-Features for Image RetrievalCode1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and LanguagesCode1
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked PositivesCode1
Learning Deep Semantic Model for Code Search using CodeSearchNet CorpusCode1
Patapasco: A Python Framework for Cross-Language Information Retrieval ExperimentsCode1
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image RetrievalCode1
Reading-strategy Inspired Visual Representation Learning for Text-to-Video RetrievalCode1
repro_eval: A Python Interface to Reproducibility Measures of System-oriented IR ExperimentsCode1
Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval ResultsCode1
Asymmetric Hash Code Learning for Remote Sensing Image RetrievalCode1
An efficient aggregation method for the symbolic representation of temporal dataCode1
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based RetrievalCode1
Bridging Video-text Retrieval with Multiple Choice QuestionsCode1
CLIP-Event: Connecting Text and Images with Event StructuresCode1
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map GenerationCode1
Multi-Query Video RetrievalCode1
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal RetrievalCode1
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document RetrievalCode1
Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin DynamicsCode1
Effective Conditioned and Composed Image Retrieval Combining CLIP-Based FeaturesCode1
Learning To Detect Scene Landmarks for Camera LocalizationCode1
Everything at Once - Multi-Modal Fusion Transformer for Video RetrievalCode1
DeepPatent: Large scale patent drawing recognition and retrievalCode1
Chitransformer: Towards Reliable Stereo From CuesCode1
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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