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 10601–10650 of 14297 papers

TitleStatusHype
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure DetectionCode1
CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning—0
Keyword-Attentive Deep Semantic MatchingCode1
Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a StyleCode1
A Convolutional Neural Network-based Patent Image Retrieval Method for Design Ideation—0
UPR: A Model-Driven Architecture for Deep Phase Retrieval—0
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism—0
A Strong Baseline for Fashion Retrieval with Person Re-Identification ModelsCode1
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text RetrievalCode1
Adaptive Semantic-Visual Tree for Hierarchical Embeddings—0
Fast and Accurate Retrieval of Methane Concentration from Imaging Spectrometer Data Using Sparsity PriorCode1
Optimizing Revenue while showing Relevant Assortments at ScaleCode1
Probability Weighted Compact Feature for Domain Adaptive RetrievalCode1
Noise Estimation Using Density Estimation for Self-Supervised Multimodal LearningCode0
Self-Supervised Visual Learning by Variable Playback Speeds Prediction of a VideoCode0
Embedding Expansion: Augmentation in Embedding Space for Deep Metric LearningCode1
Learning to Hash with Graph Neural Networks for Recommender Systems—0
Automatic Signboard Detection and Localization in Densely Populated Developing CitiesCode0
Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling—0
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation—0
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs—0
When deep denoising meets iterative phase retrieval—0
XGPT: Cross-modal Generative Pre-Training for Image Captioning—0
Matching Neuromorphic Events and Color Images via Adversarial Learning—0
Shape retrieval of non-rigid 3d human models—0
Fine-grained Video-Text Retrieval with Hierarchical Graph ReasoningCode1
Word Sense Disambiguation: A comprehensive knowledge exploitation framework—0
Image Hashing by Minimizing Discrete Component-wise Wasserstein DistanceCode0
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding—0
Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior—0
The estimation error of general first order methods—0
Triangle-Net: Towards Robustness in Point Cloud LearningCode0
Supervised Dimensionality Reduction and Visualization using Centroid-encoder—0
Auto-Encoding Twin-Bottleneck HashingCode1
Dataset Search In Biodiversity Research: Do Metadata In Data Repositories Reflect Scholarly Information Needs?Code0
Multiple Discrimination and Pairwise CNN for View-based 3D Object Retrieval—0
Generating Followup Questions for Interpretable Multi-hop Question Answering—0
3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow—0
The hypergeometric test performs comparably to TF-IDF on standard text analysis tasksCode0
Generalized Product Quantization Network for Semi-supervised Image RetrievalCode1
Quantifying daseinisation using Shannon entropy—0
Adversarial Attack on Deep Product Quantization Network for Image Retrieval—0
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification ProblemsCode0
Circle Loss: A Unified Perspective of Pair Similarity OptimizationCode1
Fast Loop Closure Detection via Binary Content—0
PointAugment: an Auto-Augmentation Framework for Point Cloud ClassificationCode1
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image RetrievalCode1
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning—0
Sketchformer: Transformer-based Representation for Sketched StructureCode1
A Nepali Rule Based Stemmer and its performance on different NLP applications—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