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 601–650 of 2239 papers

TitleStatusHype
Large-Scale Location Recognition and the Geometric Burstiness ProblemCode0
CLIPSE -- a minimalistic CLIP-based image search engine for researchCode0
Active Learning via Classifier Impact and Greedy Selection for Interactive Image RetrievalCode0
Large-Scale Image Retrieval with Attentive Deep Local FeaturesCode0
CLIP-Branches: Interactive Fine-Tuning for Text-Image RetrievalCode0
Are we done with object recognition? The iCub robot's perspectiveCode0
Large Language Models and Multimodal Retrieval for Visual Word Sense DisambiguationCode0
Class-Weighted Convolutional Features for Visual Instance SearchCode0
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approachCode0
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image RetrievalCode0
Is Multimodal Vision Supervision Beneficial to Language?Code0
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image RetrievalCode0
A Resource-Efficient Training Framework for Remote Sensing Text--Image RetrievalCode0
City-Scale Visual Place Recognition with Deep Local Features Based on Multi-Scale Ordered VLAD PoolingCode0
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural NetworksCode0
iQPP: A Benchmark for Image Query Performance PredictionCode0
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature LearningCode0
Integrating Visual and Semantic Similarity Using Hierarchies for Image RetrievalCode0
Improved Deep Hashing with Soft Pairwise Similarity for Multi-label Image RetrievalCode0
Information-Theoretic Active Learning for Content-Based Image RetrievalCode0
Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo RetrievalCode0
Improving zero-shot learning by mitigating the hubness problemCode0
Incremental Embedding Learning via Zero-Shot TranslationCode0
ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image RetrievalCode0
Dialog-based Interactive Image RetrievalCode0
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for ImagesCode0
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of ImagesCode0
Improving Collaborative Metric Learning with Efficient Negative SamplingCode0
Detect-to-Retrieve: Efficient Regional Aggregation for Image SearchCode0
Image Super-resolution via Feature-augmented Random ForestCode0
Image-to-Image Retrieval by Learning Similarity between Scene GraphsCode0
Image Hashing by Minimizing Discrete Component-wise Wasserstein DistanceCode0
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge DescriptionCode0
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten DocumentsCode0
CCIN: Compositional Conflict Identification and Neutralization for Composed Image RetrievalCode0
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten FragmentsCode0
Improved Embeddings with Easy Positive Triplet MiningCode0
iART: A Search Engine for Art-Historical Images to Support Research in the HumanitiesCode0
IDEAL: Independent Domain Embedding Augmentation LearningCode0
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
Denoise-I2W: Mapping Images to Denoising Words for Accurate Zero-Shot Composed Image RetrievalCode0
Indoor Visual Positioning Aided by CNN-Based Image Retrieval: Training-Free, 3D Modeling-FreeCode0
CBIR using features derived by Deep LearningCode0
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory RetrievalCode0
A^2-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image RetrievalCode0
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image RetrievalCode0
Hierarchical Similarity Learning for Language-based Product Image RetrievalCode0
Hierarchical Matching and Reasoning for Multi-Query Image RetrievalCode0
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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
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