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

Showing 26512675 of 14297 papers

TitleStatusHype
Transform-Invariant Convolutional Neural Networks for Image Classification and SearchCode1
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
Image-based table recognition: data, model, and evaluationCode1
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringCode1
Knowledge Guided Text Retrieval and Reading for Open Domain Question AnsweringCode1
ConveRT: Efficient and Accurate Conversational Representations from TransformersCode1
Contextualized Sparse Representations for Real-Time Open-Domain Question AnsweringCode1
Learning a Representation for Cover Song Identification Using Convolutional Neural NetworkCode1
Improving Vehicle Re-Identification using CNN Latent Spaces: Metrics Comparison and Track-to-track ExtensionCode1
Target-Oriented Deformation of Visual-Semantic Embedding SpaceCode1
Cross-modal Scene Graph Matching for Relationship-aware Image-Text RetrievalCode1
BERT for Evidence Retrieval and Claim VerificationCode1
UNITER: UNiversal Image-TExt Representation LearningCode1
CodeSearchNet Challenge: Evaluating the State of Semantic Code SearchCode1
Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content RetrievalCode1
Unsupervised Sketch-to-Photo SynthesisCode1
Revealing the Importance of Semantic Retrieval for Machine Reading at ScaleCode1
Visual Semantic Reasoning for Image-Text MatchingCode1
ViSiL: Fine-grained Spatio-Temporal Video Similarity LearningCode1
Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image RetrievalCode1
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksCode1
Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question AnsweringCode1
Use What You Have: Video Retrieval Using Representations From Collaborative ExpertsCode1
Finding Moments in Video Collections Using Natural LanguageCode1
High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query CompatibilityCode1
Show:102550
← PrevPage 107 of 572Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified