SOTAVerified

Image Retrieval

Image Retrieval is a fundamental and long-standing computer vision task that involves finding images similar to a given query from a large database. It is often considered a form of fine-grained, instance-level classification. The task is integral to image recognition alongside classification and cross-modal retrieval. By leveraging visual similarity and other criteria, image retrieval enables users to efficiently discover relevant images, making it a crucial tool in applications such as search and recommendation.

Extending CLIP for Category-to-image Retrieval in E-commerce

( Image credit: DELF )

Papers

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Showing 1001–1050 of 2239 papers

TitleStatusHype
Adaptive Fine-Grained Sketch-Based Image RetrievalCode0
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval—0
DALG: Deep Attentive Local and Global Modeling for Image Retrieval—0
Inverted Semantic-Index for Image Retrieval—0
ICC++: Explainable Image Retrieval for Art Historical Corpora using Image Composition Canvas—0
Self-Supervised Consistent Quantization for Fully Unsupervised Image Retrieval—0
Attention-based Dynamic Subspace Learners for Medical Image Analysis—0
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval—0
NORPPA: NOvel Ringed seal re-identification by Pelage Pattern AggregationCode0
Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans—0
Constrained Mass Optimal Transport—0
Aligning Images and Text with Semantic Role Labels for Fine-Grained Cross-Modal Understanding—0
FaIRCoP: Facial Image Retrieval using Contrastive Personalization—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Deep Dense Local Feature Matching and Vehicle Removal for Indoor Visual Localization—0
Deep Image Retrieval is not Robust to Label Noise—0
Deep Features for CBIR with Scarce Data using Hebbian Learning—0
One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code—0
Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural FeaturesCode0
Adversarial Learning of Hard Positives for Place Recognition—0
Subverting Fair Image Search with Generative Adversarial Perturbations—0
SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text—0
Progressive Learning for Image Retrieval with Hybrid-Modality Queries—0
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning—0
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations—0
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing—0
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular DatasetsCode0
Composite Code Sparse Autoencoders for first stage retrieval—0
Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application—0
Reuse your features: unifying retrieval and feature-metric alignmentCode0
Three-Stream Joint Network for Zero-Shot Sketch-Based Image Retrieval—0
SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies—0
A Generic Image Retrieval Method for Date Estimation of Historical Document Collections—0
Leveraging Equivariant Features for Absolute Pose Regression—0
The Group Loss++: A deeper look into group loss for deep metric learning—0
AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain ShiftCode0
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input—0
Sketch3T: Test-Time Training for Zero-Shot SBIR—0
Deep Unsupervised Hashing with Latent Semantic Components—0
Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social MediaCode0
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph LatentCode0
Image Search with Text Feedback by Additive Attention Compositional Learning—0
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection—0
A Novel Self-Supervised Cross-Modal Image Retrieval Method In Remote Sensing—0
Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge—0
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training BenchmarkCode0
Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?Code0
WAD-CMSN: Wasserstein Distance based Cross-Modal Semantic Network for Zero-Shot Sketch-Based Image Retrieval—0
Webly Supervised Concept Expansion for General Purpose Vision Models—0
Training Semantic Descriptors for Image-Based Localization—0
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All datasetsROxford (Hard)ROxford (Medium)RParis (Hard)RParis (Medium)CREPE (Compositional REPresentation Evaluation)Fashion IQFlickr30K 1K testCIRRSOPFlickr30k-CNOxf5kFlickr30k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SuperGlobalmAP80.2—Unverified
2AMESmAP80—Unverified
3Hypergraph propagation+community selectionmAP73—Unverified
4TokenmAP66.57—Unverified
5DELG+ α QE reranking+ RRT rerankingmAP64—Unverified
6FIRemAP61.2—Unverified
7HOWmAP56.9—Unverified
8ResNet101+ArcFace GLDv2-train-cleanmAP51.6—Unverified
9DELF–HQE+SPmAP50.3—Unverified
10HesAff–rSIFT–HQE+SPmAP49.7—Unverified
#ModelMetricClaimedVerifiedStatus
1AMESmAP90.7—Unverified
2Hypergraph propagation+Community selectionmAP88.4—Unverified
3TokenmAP82.28—Unverified
4FIRemAP81.8—Unverified
5DELG+ α QE reranking + RRT rerankingmAP80.4—Unverified
6HOWmAP79.4—Unverified
7ResNet101+ArcFace GLDv2-train-cleanmAP74.2—Unverified
8DELF–HQE+SPmAP73.4—Unverified
9HesAff–rSIFT–HQE+SPmAP71.3—Unverified
10DELF–ASMK*+SPmAP67.8—Unverified
#ModelMetricClaimedVerifiedStatus
1AMESmAP89.7—Unverified
2SuperGlobalmAP86.7—Unverified
3Hypergraph propagationmAP83.3—Unverified
4TokenmAP78.56—Unverified
5DELG+ α QE reranking + RRT rerankingmAP77.7—Unverified
6ResNet101+ArcFace GLDv2-train-cleanmAP70.3—Unverified
7FIRemAP70—Unverified
8DELF–HQE+SPmAP69.3—Unverified
9HOWmAP62.4—Unverified
10R–R-MACmAP59.4—Unverified
#ModelMetricClaimedVerifiedStatus
1AMESmAP94.9—Unverified
2Hypergraph propagationmAP92.6—Unverified
3TokenmAP89.34—Unverified
4DELG+ α QE reranking + RRT rerankingmAP88.5—Unverified
5FIRemAP85.3—Unverified
6ResNet101+ArcFace GLDv2-train-cleanmAP84.9—Unverified
7DELF–HQE+SPmAP84—Unverified
8HOWmAP81.6—Unverified
9R–R-MACmAP78.9—Unverified
10R–GeMmAP77.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Swin-T (MosaiCLIP, CC-12M)Recall@1 (HN-Atom, UC)44.5—Unverified
2RN-50 (MosaiCLIP, CC-12M)Recall@1 (HN-Atom, UC)44.4—Unverified
3MosaiCLIP (YFCC-FT)Recall@1 (HN-Atom, UC)41.5—Unverified
4RN-50 (NegCLIP, CC-12M)Recall@1 (HN-Atom, UC)41.4—Unverified
5MosaiCLIP (CC-FT)Recall@1 (HN-Atom, UC)40.9—Unverified
6Swin-T (NegCLIP, CC-12M)Recall@1 (HN-Atom, UC)39.6—Unverified
7CLIP (YFCC-FT)Recall@1 (HN-Atom, UC)39.5—Unverified
8ViT-L-14 (LAION400M)Recall@1 (HN-Atom + HN-Comp, SC)39.44—Unverified
9NegCLIP (YFCC-FT)Recall@1 (HN-Atom, UC)39—Unverified
10CLIP-FT (YFCC-FT)Recall@1 (HN-Atom, UC)38.3—Unverified
#ModelMetricClaimedVerifiedStatus
1DQU-CIR(Recall@10+Recall@50)/271.77—Unverified
2TMCIR(Recall@10+Recall@50)/266.56—Unverified
3SPN4CIR (SPRC)(Recall@10+Recall@50)/266.41—Unverified
4SPRC(Recall@10+Recall@50)/264.85—Unverified
5Candidate Set Re-ranking(Recall@10+Recall@50)/262.15—Unverified
6RUTIR (BLIP B/16)(Recall@10+Recall@50)/261.32—Unverified
7CASE(Recall@10+Recall@50)/259.73—Unverified
8CaLa(Recall@10+Recall@50)/257.96—Unverified
9BLIP4CIR+Bi(Recall@10+Recall@50)/255.4—Unverified
10CLIP4Cir (v3)(Recall@10+Recall@50)/255.36—Unverified
#ModelMetricClaimedVerifiedStatus
1X-VLM (base)R@186.9—Unverified
2RCARR@162.6—Unverified
3SGRAFR@158.5—Unverified
4LGSGMR@157.4—Unverified
5VisualSpartaR@157.4—Unverified
6TERAN MrSwR@156.5—Unverified
7TERAN Symm.R@155.7—Unverified
8VSRNR@154.7—Unverified
9CAMPR@151.5—Unverified
10SCAN i-tR@144—Unverified
#ModelMetricClaimedVerifiedStatus
1TMCIR(Recall@5+Recall_subset@1)/283.46—Unverified
2SPN4CIR (SPRC)(Recall@5+Recall_subset@1)/282.69—Unverified
3SPRC2(Recall@5+Recall_subset@1)/282.66—Unverified
4SPRC(Recall@5+Recall_subset@1)/281.39—Unverified
5Candidate Set Re-ranking(Recall@5+Recall_subset@1)/280.9—Unverified
6CaLa(Recall@5+Recall_subset@1)/278.74—Unverified
7CASE (Pre-trained on LaSCo.Ca)(Recall@5+Recall_subset@1)/278.25—Unverified
8CASE(Recall@5+Recall_subset@1)/277.5—Unverified
9VISTA (base)(Recall@5+Recall_subset@1)/275.9—Unverified
10MMRet-MLLM(Recall@5+Recall_subset@1)/275.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2—Unverified
2ROADMAP (DeiT-B)R@186—Unverified
3CGD (SG/GS)R@184.2—Unverified
4ROADMAP (ResNet-50)R@183.1—Unverified
5ProxyNCA++R@181.4—Unverified
6PNP LossR@181.1—Unverified
7Cross-Batch MemoryR@180.6—Unverified
8Smooth-APR@180.1—Unverified
9NormSoftmax2048 (ResNet-50)R@179.5—Unverified
10EPSHN512R@178.3—Unverified
#ModelMetricClaimedVerifiedStatus
1InternVL-G-FTR@185.9—Unverified
2InternVL-C-FTR@185.2—Unverified
3CN-CLIP (ViT-L/14@336px)R@184.4—Unverified
4R2D2 (ViT-L/14)R@184.4—Unverified
5CN-CLIP (ViT-H/14)R@183.8—Unverified
6CN-CLIP (ViT-L/14)R@182.7—Unverified
7CN-CLIP (ViT-B/16)R@179.1—Unverified
8R2D2 (ViT-B)R@178.3—Unverified
9Wukong (ViT-L/14)R@177.4—Unverified
10Wukong (ViT-B/32)R@167.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Offline DiffusionMAP96.2—Unverified
2CNN+IME layerMAP92—Unverified
3DELF+FT+ATT+DIR+QEMAP90—Unverified
4DIR+QE*MAP89—Unverified