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 1175111800 of 14297 papers

TitleStatusHype
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval0
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning0
Dynamic Feature Generation Network for Answer Selection0
Detecting unseen visual relations using analogies0
Searching for Relevant Lessons Learned Using Hybrid Information Retrieval Classifiers: A Case Study in Software Engineering0
Robust Point Light Source Estimation Using Differentiable Rendering0
Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop0
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment AnalysisCode0
Automatic Feature Weight Determination using Indexing and Pseudo-Relevance Feedback for Multi-feature Content-Based Image Retrieval0
Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin SoftmaxCode0
Rotation Invariant Descriptors for Galaxy Morphological Classification0
MergeDTS: A Method for Effective Large-Scale Online Ranker EvaluationCode0
Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network0
Improving Nighttime Retrieval-Based Localization0
Mapping, Localization and Path Planning for Image-based Navigation using Visual Features and Map0
From Coarse to Fine: Robust Hierarchical Localization at Large ScaleCode0
Asynchronous Training of Word Embeddings for Large Text CorporaCode0
Improving Retrieval-Based Question Answering with Deep Inference ModelsCode0
Quantum algorithms for feedforward neural networks0
Discriminative Supervised Hashing for Cross-Modal similarity Search0
Binary Document Image Super Resolution for Improved Readability and OCR PerformanceCode0
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape0
Representing pictures with emotions0
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions0
An Unpaired Shape Transforming Method for Image Translation and Cross-Domain Retrieval0
Graph based Question Answering System0
Learning to SampleCode1
Semi-Supervised Cross-Modal Retrieval with Label Prediction0
A Retrieve-and-Edit Framework for Predicting Structured OutputsCode0
Detect-to-Retrieve: Efficient Regional Aggregation for Image SearchCode0
EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search0
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross EntropyCode0
Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture0
Signal Reconstruction from Modulo ObservationsCode0
On learning with shift-invariant structuresCode0
Universal Perturbation Attack Against Image Retrieval0
Multi-task Learning of Hierarchical Vision-Language Representation0
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition0
FCA_Retrieval: A Multi-operator Algorithm for Information Retrieval from Binary Concept Lattice0
Supporting Evidence Retrieval for Answering Yes/No Questions0
Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot LearningCode0
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity0
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNNCode0
From Third Person to First Person: Dataset and Baselines for Synthesis and RetrievalCode0
Traversing the Continuous Spectrum of Image Retrieval with Deep Dynamic Models0
Classification is a Strong Baseline for Deep Metric LearningCode0
From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts0
An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features0
Learning From Weights: A Cost-Sensitive Approach For Ad Retrieval0
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment0
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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