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 6201–6225 of 14297 papers

TitleStatusHype
Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting—0
Progressive Spatio-Temporal Prototype Matching for Text-Video RetrievalCode1
Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image RetrievalCode0
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation—0
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training—0
Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video RetrievalCode1
Disentangled Representation Learning for Unsupervised Neural Quantization—0
Deep Semi-Supervised Metric Learning With Mixed Label Propagation—0
SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers—0
Multilateral Semantic Relations Modeling for Image Text Retrieval—0
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning NetworkCode1
RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training—0
Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models—0
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active LearningCode1
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval—0
DLBD: A Self-Supervised Direct-Learned Binary DescriptorCode0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
Towards Modality-Agnostic Person Re-Identification With Descriptive QueryCode1
Modeling Video As Stochastic Processes for Fine-Grained Video Representation LearningCode1
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode1
ViLEM: Visual-Language Error Modeling for Image-Text Retrieval—0
Deep Hashing With Minimal-Distance-Separated Hash Centers—0
R2Former: Unified Retrieval and Reranking Transformer for Place RecognitionCode1
Learnable Skeleton-Aware 3D Point Cloud Sampling—0
Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis—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