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 251–300 of 522 papers

TitleStatusHype
Cross-Modal Coordination Across a Diverse Set of Input Modalities—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
Cross-Modal Discrete Representation Learning—0
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism—0
Cross-Modal Hamming Hashing—0
Cross-modal Image Retrieval with Deep Mutual Information Maximization—0
Cross-Modality Personalization for Retrieval—0
Cross-Modal Manifold Learning for Cross-modal Retrieval—0
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies—0
Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning—0
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
Cross-Modal Retrieval with Implicit Concept Association—0
Cross-modal Retrieval with Improved Graph Convolution—0
Cross-modal Search Method of Technology Video based on Adversarial Learning and Feature Fusion—0
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval—0
Cross-View Image Retrieval -- Ground to Aerial Image Retrieval through Deep Learning—0
CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features—0
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval—0
Data leakage in cross-modal retrieval training: A case study—0
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval—0
Deep Cross-modal Hashing via Margin-dynamic-softmax Loss—0
Deep Latent Space Learning for Cross-modal Mapping of Audio and Visual Signals—0
Deep Lifelong Cross-modal Hashing—0
Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval—0
Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval—0
Deep Robust Multilevel Semantic Cross-Modal Hashing—0
Deep Semantic Correlation Learning Based Hashing for Multimedia Cross-Modal Retrieval—0
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals—0
Deep Supervised Information Bottleneck Hashing for Cross-modal Retrieval based Computer-aided Diagnosis—0
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks—0
Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing—0
Dense Multimodal Fusion for Hierarchically Joint Representation—0
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering—0
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval—0
Discriminative Semantic Transitive Consistency for Cross-Modal Learning—0
Discriminative Supervised Hashing for Cross-Modal similarity Search—0
Discriminative Supervised Subspace Learning for Cross-modal Retrieval—0
Disentangled Noisy Correspondence Learning—0
Distilling Vision-Language Pretraining for Efficient Cross-Modal Retrieval—0
Distribution Aligned Feature Clustering for Zero-Shot Sketch-Based Image Retrieval—0
Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA—0
Do Cross Modal Systems Leverage Semantic Relationships?—0
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval—0
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models—0
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling—0
Efficient Discrete Supervised Hashing for Large-scale Cross-modal Retrieval—0
EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval—0
EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast—0
Emphasizing Complementary Samples for Non-literal 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