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 12401–12450 of 14297 papers

TitleStatusHype
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?Code0
Leveraging Unlabeled Data for Crowd Counting by Learning to RankCode0
Improved Deep Hashing with Soft Pairwise Similarity for Multi-label Image RetrievalCode0
Zero-Shot Sketch-Image HashingCode0
Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval—0
Learning Decorrelated Hashing Codes for Multimodal Retrieval—0
Hashing with Mutual InformationCode0
Authorship verification in the absence of explicit features and thresholdsCode0
prDeep: Robust Phase Retrieval with a Flexible Deep NetworkCode0
Retrieval and Registration of Long-Range Overlapping Frames for Scalable Mosaicking of In Vivo Fetoscopy—0
LDOP: Local Directional Order Pattern for Robust Face Retrieval—0
A theory of sequence indexing and working memory in recurrent neural networks—0
Network-Clustered Multi-Modal Bug Localization—0
Directional Statistics-based Deep Metric Learning for Image Classification and RetrievalCode1
Constructing Category-Specific Models for Monocular Object-SLAM—0
HBST: A Hamming Distance embedding Binary Search Tree for Visual Place RecognitionCode0
A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval—0
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples—0
Deep Neural Network for Learning to Rank Query-Text Pairs—0
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification—0
MPST: A Corpus of Movie Plot Synopses with Tags—0
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching—0
Continual Lifelong Learning with Neural Networks: A Review—0
Binary Constrained Deep Hashing Network for Image Retrieval without Manual Annotation—0
Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing—0
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors—0
Nonconvex Matrix Factorization from Rank-One Measurements—0
CREPE: A Convolutional Representation for Pitch EstimationCode1
Ad Hoc Table Retrieval using Semantic SimilarityCode0
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing—0
Scenarios: A New Representation for Complex Scene Understanding—0
Content-based Representations of audio using Siamese neural networks—0
Improving Retrieval Modeling Using Cross Convolution Networks And Multi Frequency Word Embedding—0
Inverting The Generator Of A Generative Adversarial Network (II)Code0
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks—0
MemeSequencer: Sparse Matching for Embedding Image Macros—0
Fast Interactive Image Retrieval using large-scale unlabeled data—0
Revisiting the Vector Space Model: Sparse Weighted Nearest-Neighbor Method for Extreme Multi-Label ClassificationCode0
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategiesCode0
On-device Scalable Image-based Localization via Prioritized Cascade Search and Fast One-Many RANSAC—0
Convolutional Hashing for Automated Scene Matching—0
From Selective Deep Convolutional Features to Compact Binary Representations for Image RetrievalCode0
Deep Reinforcement Learning for Image Hashing—0
VISER: Visual Self-Regularization—0
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest NeighborsCode0
SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network—0
Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder—0
Attribute-Guided Network for Cross-Modal Zero-Shot Hashing—0
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval—0
HoloFace: Augmenting Human-to-Human Interactions on HoloLensCode0
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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