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 801–850 of 2239 papers

TitleStatusHype
FashionVLP: Vision Language Transformer for Fashion Retrieval With Feedback—0
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not—0
DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines—0
Dual Relation Alignment for Composed Image Retrieval—0
Fast Dictionary Matching for Content-based Image Retrieval—0
Fast Feature Matching of UAV Images via Matrix Band Reduction-based GPU Data Schedule—0
Dual Purpose Hashing—0
Fast Loop Closure Detection via Binary Content—0
Dual-Modal Prompting for Sketch-Based Image Retrieval—0
Aggregated Deep Local Features for Remote Sensing Image Retrieval—0
A Geometrically Constrained Point Matching based on View-invariant Cross-ratios, and Homography—0
Dual Embedding Expansion for Vehicle Re-identification—0
Computing Similarity between Cultural Heritage Items using Multimodal Features—0
Fast Training of Triplet-based Deep Binary Embedding Networks—0
Good Practice in CNN Feature Transfer—0
Feature Extraction and Soft Computing Methods for Aerospace Structure Defect Classification—0
Feature-Independent Context Estimation for Automatic Image Annotation—0
Attention-based Pyramid Aggregation Network for Visual Place Recognition—0
Feature Pyramid Hashing—0
A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval—0
Features-over-the-Air: Contrastive Learning Enabled Cooperative Edge Inference—0
FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in German—0
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval—0
Draw and Tell: Multimodal Descriptions Outperform Verbal- or Sketch-Only Descriptions in an Image Retrieval Task—0
Do We Really Need Scene-specific Pose Encoders?—0
FFF: Fixing Flawed Foundations in contrastive pre-training results in very strong Vision-Language models—0
Clean Image May be Dangerous: Data Poisoning Attacks Against Deep Hashing—0
Finding More Relevance: Propagating Similarity on Markov Random Field for Image Retrieval—0
A Review on Image Texture Analysis Methods—0
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization—0
Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval—0
Don't Mention the Shoe! A Learning to Rank Approach to Content Selection for Image Description Generation—0
Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval—0
Domain-invariant feature learning in brain MR imaging for content-based image retrieval—0
Fine-grained Image Retrieval via Dual-Vision Adaptation—0
Fine-Grained Instance-Level Sketch-Based Video Retrieval—0
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning—0
A Review of Image Retrieval Techniques: Data Augmentation and Adversarial Learning Approaches—0
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing—0
Domain-Independent Captioning of Domain-Specific Images—0
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation—0
Classifying magnetic resonance image modalities with convolutional neural networks—0
Flickr30K-CFQ: A Compact and Fragmented Query Dataset for Text-image Retrieval—0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations—0
A Generic Image Retrieval Method for Date Estimation of Historical Document Collections—0
Class Anchor Margin Loss for Content-Based Image Retrieval—0
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain—0
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks—0
FOR: Finetuning for Object Level Open Vocabulary Image Retrieval—0
Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback—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