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 8801–8850 of 14297 papers

TitleStatusHype
Video-Streaming Biomedical Implants using Ultrasonic Waves for Communication—0
A Modern Perspective on Query Likelihood with Deep Generative Retrieval ModelsCode0
Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval—0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training—0
Video Moment Retrieval with Text Query Considering Many-to-Many Correspondence Using Potentially Relevant Pair—0
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
Sparse Multi-Reference Alignment : Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem—0
Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning—0
PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database—0
Extractive Explanations for Interpretable Text RankingCode0
What makes visual place recognition easy or hard?—0
Domain-Smoothing Network for Zero-Shot Sketch-Based Image RetrievalCode1
Information Retrieval for ZeroSpeech 2021: The Submission by University of WroclawCode0
Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-AnsweringCode0
Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human CommunicationCode1
Pseudo-Relevance Feedback for Multiple Representation Dense RetrievalCode1
The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification—0
CLIP2Video: Mastering Video-Text Retrieval via Image CLIPCode1
Contrastive learning for natural language-based vehicle retrievalCode0
On the Cryptographic Hardness of Learning Single Periodic Neurons—0
Spatial Assembly Networks for Image Representation Learning—0
Discrimination-Aware Mechanism for Fine-Grained Representation Learning—0
Learning Cross-Modal Retrieval With Noisy LabelsCode1
Learning a Facial Expression Embedding Disentangled From Identity—0
Cross-Modal Center Loss for 3D Cross-Modal Retrieval—0
Image Change Captioning by Learning From an Auxiliary Task—0
CoSMo: Content-Style Modulation for Image Retrieval With Text FeedbackCode1
Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning—0
Self-Supervised Video Hashing via Bidirectional TransformersCode1
You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems—0
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging—0
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval—0
Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval—0
Universal Adversarial Head: Practical Protection against Video Data Leakage—0
Non-Iterative Phase Retrieval With Cascaded Neural Networks—0
Improved Radar Localization on Lidar Maps Using Shared Embedding—0
Weakly Supervised Pre-Training for Multi-Hop RetrieverCode1
All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal TransformersCode0
Self-supervised Video Representation Learning with Cross-Stream Prototypical ContrastingCode1
An Information Retrieval Approach to Building Datasets for Hate Speech DetectionCode0
Embedding-based Product Retrieval in Taobao Search—0
Recovery under Side Constraints—0
PEN4Rec: Preference Evolution Networks for Session-based RecommendationCode0
Reflector Antennas Characterization and Diagnostics using a Single Set of Far Field Phaseless Data and Crosswords-like Processing—0
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections—0
Probing Image-Language Transformers for Verb UnderstandingCode1
FAIR: Fairness-Aware Information Retrieval Evaluation—0
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and BetterCode1
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question AnsweringCode0
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations—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