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 551–600 of 2239 papers

TitleStatusHype
HORUS: Multimodal Large Language Models Framework for Video Retrieval at VBS 2025—0
Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception—0
CCIN: Compositional Conflict Identification and Neutralization for Composed Image RetrievalCode0
PromptHash:Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing RetrievalCode0
Learning with Noisy Triplet Correspondence for Composed Image Retrieval—0
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark—0
FOR: Finetuning for Object Level Open Vocabulary Image Retrieval—0
ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image RetrievalCode0
Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning with Dense LabelingCode0
A New Method to Capturing Compositional Knowledge in Linguistic Space—0
Learning Visual Composition through Improved Semantic Guidance—0
Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval—0
Adversarial Hubness in Multi-Modal RetrievalCode0
Three Things to Know about Deep Metric Learning—0
Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval—0
MVC-VPR: Mutual Learning of Viewpoint Classification and Visual Place Recognition—0
Image Retrieval Methods in the Dissimilarity Space—0
Image Retrieval with Intra-Sweep Representation Learning for Neck Ultrasound Scanning Guidance—0
Compositional Image Retrieval via Instruction-Aware Contrastive LearningCode0
DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification—0
Active Learning via Classifier Impact and Greedy Selection for Interactive Image RetrievalCode0
Optimizing Domain-Specific Image Retrieval: A Benchmark of FAISS and Annoy with Fine-Tuned Features—0
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models—0
Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries—0
EFSA: Episodic Few-Shot Adaptation for Text-to-Image Retrieval—0
Learning Visual Hierarchies with Hyperbolic Embeddings—0
Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy—0
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks—0
PEnG: Pose-Enhanced Geo-LocalisationCode0
Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval—0
Saliency Map-based Image Retrieval using Invariant Krawtchouk MomentsCode0
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory RetrievalCode0
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing—0
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives—0
Exploiting Contextual Uncertainty of Visual Data for Efficient Training of Deep Models—0
Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification—0
MoTaDual: Modality-Task Dual Alignment for Enhanced Zero-shot Composed Image Retrieval—0
Decoupling Semantic Similarity from Spatial Alignment for Neural NetworksCode0
ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image RetrievalCode0
Denoise-I2W: Mapping Images to Denoising Words for Accurate Zero-Shot Composed Image RetrievalCode0
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
Accelerated Sub-Image Search For Variable-Size Patches Identification Based On Virtual Time Series Transformation And Segmentation—0
Visual Navigation of Digital Libraries: Retrieval and Classification of Images in the National Library of Norway's Digitised Book CollectionCode0
Development of Image Collection Method Using YOLO and Siamese Network—0
LoGS: Visual Localization via Gaussian Splatting with Fewer Training Images—0
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP—0
A Unified Deep Semantic Expansion Framework for Domain-Generalized Person Re-identification—0
A Unified Debiasing Approach for Vision-Language Models across Modalities and TasksCode0
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval—0
MedImageInsight: An Open-Source Embedding Model for General Domain Medical ImagingCode0
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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