SOTAVerified

Text Matching

Matching a target text to a source text based on their meaning.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 364 papers

TitleStatusHype
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching—0
BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus DecodingCode1
Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes KnowledgeCode0
Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval—0
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval—0
Improving Zero-Shot Action Recognition using Human Instruction with Text Description—0
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency—0
VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching—0
ShapeScaffolder: Structure-Aware 3D Shape Generation from Text—0
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning NetworkCode1
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension—0
Learning Semantic Relationship Among Instances for Image-Text MatchingCode1
Multimodal Matching-aware Co-attention Networks with Mutual Knowledge Distillation for Fake News Detection—0
Uniform Masking Prevails in Vision-Language Pretraining—0
SimVTP: Simple Video Text Pre-training with Masked AutoencodersCode0
ComCLIP: Training-Free Compositional Image and Text MatchingCode1
Self-supervised vision-language pretraining for Medical visual question answeringCode1
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text SpottingCode2
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers—0
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance—0
Dissecting Deep Metric Learning Losses for Image-Text RetrievalCode0
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?Code0
Law Article-Enhanced Legal Case Matching: a Causal Learning ApproachCode0
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training ModelCode1
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems—0
Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching—0
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text—0
Random Text Perturbations Work, but not AlwaysCode0
GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-trainingCode1
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and RetrievalCode0
Zero-Shot Video Captioning with Evolving Pseudo-TokensCode1
Don't Stop Learning: Towards Continual Learning for the CLIP Model—0
SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder—0
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge TransferCode1
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval—0
A Dense Representation Framework for Lexical and Semantic MatchingCode1
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text InputsCode1
Delving into the Openness of CLIPCode0
GR-GAN: Gradual Refinement Text-to-image GenerationCode0
TextMatcher: Cross-Attentional Neural Network to Compare Image and Text—0
CCMB: A Large-scale Chinese Cross-modal BenchmarkCode1
HumanAL: Calibrating Human Matching Beyond a Single Task—0
Language Models Can See: Plugging Visual Controls in Text GenerationCode2
Declaration-based Prompt Tuning for Visual Question AnsweringCode1
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer—0
Adaptable Text Matching via Meta-Weight Regulator—0
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations—0
Modality-Balanced Embedding for Video Retrieval—0
No Token Left Behind: Explainability-Aided Image Classification and GenerationCode1
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCOCode1
Show:102550
← PrevPage 4 of 8Next →

No leaderboard results yet.