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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–750 of 2239 papers

TitleStatusHype
Improving Personalized Search with Regularized Low-Rank Parameter UpdatesCode0
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard ExamplesCode0
Indoor Visual Positioning Aided by CNN-Based Image Retrieval: Training-Free, 3D Modeling-FreeCode0
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of ImagesCode0
Image-to-Image Retrieval by Learning Similarity between Scene GraphsCode0
Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual MetricsCode0
Deep Supervised Hashing for Fast Image RetrievalCode0
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image RetrievalCode0
Image Super-resolution via Feature-augmented Random ForestCode0
Improved Embeddings with Easy Positive Triplet MiningCode0
Deep Shape MatchingCode0
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge DescriptionCode0
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten DocumentsCode0
An overview of deep learning in medical imaging focusing on MRICode0
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten FragmentsCode0
iART: A Search Engine for Art-Historical Images to Support Research in the HumanitiesCode0
IDEAL: Independent Domain Embedding Augmentation LearningCode0
Image Hashing by Minimizing Discrete Component-wise Wasserstein DistanceCode0
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image RetrievalCode0
CAMP: Cross-Modal Adaptive Message Passing for Text-Image RetrievalCode0
Deep Reinforced Attention Regression for Partial Sketch Based Image RetrievalCode0
How convolutional neural network see the world - A survey of convolutional neural network visualization methodsCode0
Hybrid Style Siamese Network: Incorporating style loss in complementary apparels retrievalCode0
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory RetrievalCode0
End-to-end Learning of Deep Visual Representations for Image RetrievalCode0
Deep Recurrent Quantization for Generating Sequential Binary CodesCode0
Deep Randomized Ensembles for Metric LearningCode0
Deep Priority HashingCode0
Adversarial Hubness in Multi-Modal RetrievalCode0
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image RetrievalCode0
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing UnderstandingCode0
Enhancing Historical Image Retrieval with Compositional CuesCode0
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer LearningCode0
Hierarchical Similarity Learning for Language-based Product Image RetrievalCode0
Hierarchy-based Image Embeddings for Semantic Image RetrievalCode0
Deep Multi Query Image RetrievalCode0
Hierarchical localization with panoramic views and triplet loss functionsCode0
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair SelectionCode0
Hierarchical Matching and Reasoning for Multi-Query Image RetrievalCode0
HKUST at SemEval-2023 Task 1: Visual Word Sense Disambiguation with Context Augmentation and Visual AssistanceCode0
Improving Collaborative Metric Learning with Efficient Negative SamplingCode0
Deep Metric Learning with Chance ConstraintsCode0
Hashing with Binary Matrix PursuitCode0
ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image RetrievalCode0
EUFCC-CIR: a Composed Image Retrieval Dataset for GLAM CollectionsCode0
Deep Metric Learning with BIER: Boosting Independent Embeddings RobustlyCode0
Deep Metric Learning with Angular LossCode0
Hashing with Mutual InformationCode0
Hash Function Learning via CodewordsCode0
Show:102550
← PrevPage 15 of 45Next →
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
4VisualSpartaR@157.4—Unverified
5LGSGMR@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
3R2D2 (ViT-L/14)R@184.4—Unverified
4CN-CLIP (ViT-L/14@336px)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