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 6426–6450 of 14297 papers

TitleStatusHype
Multimorbidity Content-Based Medical Image Retrieval Using Proxies—0
Videogenic: Identifying Highlight Moments in Videos with Professional Photographs as a Prior—0
Ranking Aggregation with Interactive Feedback for Collaborative Person Re-identificationCode0
Unifying Vision-Language Representation Space with Single-tower Transformer—0
Directional dark-field retrieval with single-grid x-ray imagingCode0
Deformable Voxel Grids for Shape Comparisons—0
TimbreCLIP: Connecting Timbre to Text and Images—0
Video Background Music Generation: Dataset, Method and EvaluationCode0
Expectation-Maximization Contrastive Learning for Compact Video-and-Language RepresentationsCode1
Are All Combinations Equal? Combining Textual and Visual Features with Multiple Space Learning for Text-Based Video RetrievalCode0
CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation—0
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training—0
Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models—0
Contrastive Masked Autoencoders for Self-Supervised Video HashingCode1
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent AttentionCode1
Hengam: An Adversarially Trained Transformer for Persian Temporal TaggingCode1
Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity RetrievalCode0
Font Representation Learning via Paired-glyph MatchingCode1
Simultaneously Learning Robust Audio Embeddings and balanced Hash codes for Query-by-Example—0
SeDR: Segment Representation Learning for Long Documents Dense RetrievalCode0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
An Enhanced Object Detection Model for Scene Graph Generation—0
Informative Sample-Aware Proxy for Deep Metric Learning—0
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval—0
UMFuse: Unified Multi View Fusion for Human Editing 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