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 9276–9300 of 14297 papers

TitleStatusHype
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration—0
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-LocalizationCode1
Majority Voting with Bidirectional Pre-translation For Bitext RetrievalCode0
Cross-modal Image Retrieval with Deep Mutual Information Maximization—0
Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing—0
CEQE: Contextualized Embeddings for Query Expansion—0
Open-book Video Captioning with Retrieve-Copy-Generate Network—0
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question AnsweringCode0
Rudder: A Cross Lingual Video and Text Retrieval DatasetCode0
FROG-measurement based phase retrieval for analytic signals—0
Bridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization—0
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem—0
Semantic Models for the First-stage Retrieval: A Comprehensive ReviewCode1
Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification—0
Usability Evaluation for Online Professional Search in the Dutch Archaeology Domain—0
Improving Zero-Shot Entity Retrieval through Effective Dense Representations—0
A Convolutional Architecture for 3D Model Embedding—0
Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching—0
Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data—0
SVMax: A Feature Embedding RegularizerCode0
The effects of having lists of synonyms on the performance of Afaan Oromo Text Retrieval system—0
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval—0
Weakly-Supervised Open-Retrieval Conversational Question AnsweringCode0
Simplified Data Wrangling with ir_datasetsCode1
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial QueryCode1
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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