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 201–250 of 522 papers

TitleStatusHype
Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials Design—0
Cross-Modal Discrete Representation Learning—0
BagFormer: Better Cross-Modal Retrieval via bag-wise interaction—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning—0
Cross-Modal Coordination Across a Diverse Set of Input Modalities—0
Extending Cross-Modal Retrieval with Interactive Learning to Improve Image Retrieval Performance in Forensics—0
Cross-modal Common Representation Learning by Hybrid Transfer Network—0
All in One Framework for Multimodal Re-identification in the Wild—0
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings—0
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays—0
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal 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
FLEX-CLIP: Feature-Level GEneration Network Enhanced CLIP for X-shot Cross-modal Retrieval—0
Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation—0
FOLIAGE: Towards Physical Intelligence World Models Via Unbounded Surface Evolution—0
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey—0
Everything is a Video: Unifying Modalities through Next-Frame Prediction—0
Fusion-supervised Deep Cross-modal Hashing—0
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization—0
Cross-Modal 3D Representation with Multi-View Images and Point Clouds—0
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels—0
Semi-Supervised Cross-Modal Retrieval with Label Prediction—0
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond—0
Learning with Noisy Correspondence—0
Global–Local Information Soft-Alignment for Cross-Modal Remote-Sensing Image–Text Retrieval—0
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval—0
Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach—0
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval—0
Enhancing medical vision-language contrastive learning via inter-matching relation modelling—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval—0
Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model—0
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval—0
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval—0
Cross-modal Retrieval with Improved Graph Convolution—0
EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast—0
Attribute-Guided Network for Cross-Modal Zero-Shot Hashing—0
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval—0
Attention-aware Deep Adversarial Hashing for Cross-Modal Retrieval—0
EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval—0
CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval—0
Improved Text-Image Matching by Mitigating Visual Semantic Hubs—0
Learning Similarity Preserving Binary Codes for Recommender Systems—0
Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation—0
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval—0
Efficient Discrete Supervised Hashing for Large-scale Cross-modal Retrieval—0
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval—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