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 7051–7075 of 14297 papers

TitleStatusHype
V^2L: Leveraging Vision and Vision-language Models into Large-scale Product RetrievalCode1
Adaptive Asymmetric Label-guided Hashing for Multimedia Search—0
Asymmetric Scalable Cross-modal Hashing—0
Active Learning of Ordinal Embeddings: A User Study on Football Data—0
Retrieval-Augmented Transformer for Image Captioning—0
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion ModelsCode6
Training Effective Neural Sentence Encoders from Automatically Mined ParaphrasesCode1
NewsStories: Illustrating articles with visual summariesCode1
Contrastive Learning for Interactive Recommendation in Fashion—0
3D Shape Sequence of Human Comparison and Classification using Current and VarifoldsCode0
Model-based Unbiased Learning to RankCode0
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and DeformationCode1
LocVTP: Video-Text Pre-training for Temporal LocalizationCode1
UFO: Unified Feature OptimizationCode1
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation—0
Introducing Auxiliary Text Query-modifier to Content-based Audio RetrievalCode0
Revisiting Hotels-50K and Hotel-IDCode0
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation LearningCode0
Feature Representation Learning for Unsupervised Cross-domain Image RetrievalCode1
ERA: Expert Retrieval and Assembly for Early Action Prediction—0
Tip-Adapter: Training-free Adaption of CLIP for Few-shot ClassificationCode2
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany—0
Context Unaware Knowledge Distillation for Image RetrievalCode0
ir_metadata: An Extensible Metadata Schema for IR ExperimentsCode0
Consistent Polyhedral Surrogates for Top-k Classification and Variants—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