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 11801–11850 of 14297 papers

TitleStatusHype
Exploiting "Quantum-like Interference" in Decision Fusion for Ranking Multimodal Documents—0
Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network—0
A Deep Cascade Model for Multi-Document Reading Comprehension—0
MeshNet: Mesh Neural Network for 3D Shape RepresentationCode0
Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification—0
Semi-supervised learning with Bidirectional GANs—0
A Concept-Centered Hypertext Approach to Case-Based Retrieval—0
Large-scale Speaker Retrieval on Random Speaker Variability Subspace—0
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline ProcessingCode0
A Compact Embedding for Facial Expression SimilarityCode0
Scalable graph-based individual named entity identification—0
Matchable Image Retrieval by Learning from Surface ReconstructionCode0
Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval—0
An overview of deep learning in medical imaging focusing on MRICode0
Novelty and Coverage in context-based information filtering—0
Object Detection based Deep Unsupervised Hashing—0
Strategy of the Negative Sampling for Training Retrieval-Based Dialogue Systems—0
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval—0
Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study—0
Learning Attractor Dynamics for Generative MemoryCode0
The Statistical Dictionary-based String Matching Problem—0
Data Augmentation using Random Image Cropping and Patching for Deep CNNsCode0
Overcoming low-utility facets for complex answer retrieval—0
Facilitating the Manual Annotation of Sounds When Using Large Taxonomies—0
Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework—0
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval—0
Adaptive Re-ranking of Deep Feature for Person Re-identification—0
Learning from Multiview Correlations in Open-Domain Videos—0
Early Fusion for Goal Directed Robotic Vision—0
Unsupervised Multimodal Representation Learning across Medical Images and Reports—0
Scene Graph Generation via Conditional Random Fields—0
Alignment Analysis of Sequential Segmentation of Lexicons to Improve Automatic Cognate DetectionCode0
Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models—0
End-to-End Retrieval in Continuous Space—0
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery—0
Adversarial Autoencoders for Compact Representations of 3D Point CloudsCode0
Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks—0
Adversarial Soft-detection-based Aggregation Network for Image RetrievalCode0
Proximity Full-Text Search with a Response Time Guarantee by Means of Additional Indexes—0
Answering Science Exam Questions Using Query Reformulation with Background Knowledge—0
Improving Automatic Source Code Summarization via Deep Reinforcement LearningCode0
Not just a matter of semantics: the relationship between visual similarity and semantic similarity—0
Investigating Bell Inequalities for Multidimensional Relevance Judgments in Information Retrieval—0
Combining Fact Extraction and Verification with Neural Semantic Matching NetworksCode0
Boosting Search Performance Using Query VariationsCode0
On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering—0
Survey of Computational Approaches to Lexical Semantic Change—0
SUGAMAN: Describing Floor Plans for Visually Impaired by Annotation Learning and Proximity based Grammar—0
HPI-DHC at TREC 2018 Precision Medicine TrackCode1
Melodic Phrase Segmentation By Deep Neural Networks—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