SOTAVerified

Cross-Modal Retrieval

Cross-Modal Retrieval (CMR) is a task of retrieving items across different modalities, such as image, text, video, and audio. The core challenge of CMR is the heterogeneity gap, which arises because data from different modalities have distinct representations, making direct comparison difficult. To address this, most CMR methods focus on learning a shared latent embedding space. In this space, concepts from different modalities are projected, allowing their similarity to be measured using a distance metric.

Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study

Papers

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Showing 151–200 of 522 papers

TitleStatusHype
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal RetrievalCode1
Graph Structured Network for Image-Text MatchingCode1
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL ModelsCode1
PaLI-3 Vision Language Models: Smaller, Faster, StrongerCode1
Knowledge-enhanced Visual-Language Pretraining for Computational PathologyCode1
Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-IdentificationCode1
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent AttentionCode1
Plug-and-Play Regulators for Image-Text MatchingCode1
VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal RetrievalCode1
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal RetrievalCode1
CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features—0
Cross-View Image Retrieval -- Ground to Aerial Image Retrieval through Deep Learning—0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval—0
An analysis of vision-language models for fabric retrieval—0
Adversarial Attack on Deep Cross-Modal Hamming Retrieval—0
Cross-modal Search Method of Technology Video based on Adversarial Learning and Feature Fusion—0
CellCLIP -- Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning—0
Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data—0
Improved Text-Image Matching by Mitigating Visual Semantic Hubs—0
Cross-modal Retrieval with Improved Graph Convolution—0
Cross-Modal Retrieval with Implicit Concept Association—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs—0
Calibrating Probabilistic Embeddings for Cross-Modal Retrieval—0
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling—0
Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning—0
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies—0
Cross-Modal Manifold Learning for Cross-modal Retrieval—0
Cross-Modality Personalization for Retrieval—0
Alternating Co-Quantization for Cross-Modal Hashing—0
Cross-modal Image Retrieval with Deep Mutual Information Maximization—0
Cross-Modal Hamming Hashing—0
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
Cross-Modal Discrete Representation Learning—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
BagFormer: Better Cross-Modal Retrieval via bag-wise interaction—0
Cross-Modal Coordination Across a Diverse Set of Input Modalities—0
Cross-modal Common Representation Learning by Hybrid Transfer Network—0
All in One Framework for Multimodal Re-identification in the Wild—0
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval—0
Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval—0
Cross-Modal Center Loss for 3D Cross-Modal Retrieval—0
Cross-modal Center Loss—0
Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation—0
HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval—0
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey—0
Everything is a Video: Unifying Modalities through Next-Frame Prediction—0
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All datasetsCOCO 2014Flickr30kRecipe1M+RSICDRSITMDChEBI-20MSCOCO-1kSoundingEarthCUHK-PEDESFlickr-8kMSCOCOMS-COCO-2014

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MaMMUT (ours)Image-to-text R@170.7—Unverified
2VASTText-to-image R@168—Unverified
3X2-VLM (large)Text-to-image R@167.7—Unverified
4BEiT-3Text-to-image R@167.2—Unverified
5XFM (base)Text-to-image R@167—Unverified
6X2-VLM (base)Text-to-image R@166.2—Unverified
7PTP-BLIP (14M)Text-to-image R@164.9—Unverified
8OmniVL (14M)Text-to-image R@164.8—Unverified
9VSE-GradientText-to-image R@163.6—Unverified
10X-VLM (base)Text-to-image R@163.4—Unverified
#ModelMetricClaimedVerifiedStatus
1X2-VLM (large)Image-to-text R@198.8—Unverified
2X2-VLM (base)Image-to-text R@198.5—Unverified
3BEiT-3Image-to-text R@198—Unverified
4OmniVL (14M)Image-to-text R@197.3—Unverified
5Aurora (ours, r=128)Image-to-text R@197.2—Unverified
6ERNIE-ViL 2.0Image-to-text R@197.2—Unverified
7X-VLM (base)Image-to-text R@197.1—Unverified
8VSE-GradientImage-to-text R@197—Unverified
9ALIGNImage-to-text R@195.3—Unverified
10VASTText-to-image R@191—Unverified
#ModelMetricClaimedVerifiedStatus
1VLPCook (R1M+)Image-to-text R@174.9—Unverified
2VLPCookImage-to-text R@173.6—Unverified
3T-Food (CLIP)Image-to-text R@172.3—Unverified
4T-FoodImage-to-text R@168.2—Unverified
5X-MRSImage-to-text R@164—Unverified
6H-TImage-to-text R@160—Unverified
7SCANImage-to-text R@154—Unverified
8ACMEImage-to-text R@151.8—Unverified
9VLPCookImage-to-text R@145.2—Unverified
10AdaMineImage-to-text R@139.8—Unverified
#ModelMetricClaimedVerifiedStatus
1HarMA (w/ GeoRSCLIP)Mean Recall38.95—Unverified
2GeoRSCLIP-FTMean Recall38.87—Unverified
3GLISAMean Recall37.69—Unverified
4RemoteCLIPMean Recall36.35—Unverified
5PE-RSITR (MRS-Adapter)Mean Recall31.12—Unverified
6PIRMean Recall24.46—Unverified
7DOVEMean Recall22.72—Unverified
8SWANMean Recall20.61—Unverified
9GaLRMean Recall18.96—Unverified
10AMFMNMean Recall15.53—Unverified
#ModelMetricClaimedVerifiedStatus
1HarMA (w/ GeoRSCLIP)Image-to-text R@132.74—Unverified
2GeoRSCLIP-FTImage-to-text R@132.3—Unverified
3GLISAImage-to-text R@132.08—Unverified
4RemoteCLIPImage-to-text R@128.76—Unverified
5PE-RSITR (MRS-Adapter)Image-to-text R@123.67—Unverified
6PIRImage-to-text R@118.14—Unverified
7DOVEImage-to-text R@116.81—Unverified
8GaLRImage-to-text R@114.82—Unverified
9SWANImage-to-text R@113.35—Unverified
10AMFMNImage-to-text R@110.63—Unverified
#ModelMetricClaimedVerifiedStatus
1CLASS (ORMA)Hits@167.4—Unverified
2ORMAHits@166.5—Unverified
3Song et al.Hits@156.5—Unverified
4CLASS (AMAN)Hits@151.1—Unverified
5DSOKRHits@151—Unverified
6AMANHits@149.4—Unverified
7All-EnsembleHits@134.4—Unverified
8MLP1Hits@122.4—Unverified
9GCN2Hits@122.3—Unverified
#ModelMetricClaimedVerifiedStatus
1NAPRegImage-to-text R@181.9—Unverified
2Dual-path CNNImage-to-text R@141.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-18Median Rank565—Unverified
2GeoCLAPMedian Rank159—Unverified
#ModelMetricClaimedVerifiedStatus
1Dual PathText-to-image Medr2—Unverified
#ModelMetricClaimedVerifiedStatus
1NAPRegImage-to-text R@156.2—Unverified
#ModelMetricClaimedVerifiedStatus
13SHNetImage-to-text R@185.8—Unverified
#ModelMetricClaimedVerifiedStatus
1NAPRegText-to-image R@143—Unverified