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Text Matching
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Matching a target text to a source text based on their meaning.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP
Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis
Descriptive Image-Text Matching with Graded Contextual Similarity
Compositional Image-Text Matching and Retrieval by Grounding Entities
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching
Dependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching
CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation
Object-centric Binding in Contrastive Language-Image Pretraining
CGI: Identifying Conditional Generative Models with Example Images
MASS: Overcoming Language Bias in Image-Text Matching
FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization
Multi-Head Attention Driven Dynamic Visual-Semantic Embedding for Enhanced Image-Text Matching
A Concept-Centric Approach to Multi-Modality Learning
You Only Submit One Image to Find the Most Suitable Generative Model
ViUniT: Visual Unit Tests for More Robust Visual Programming
Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions
Automatic Prompt Generation and Grounding Object Detection for Zero-Shot Image Anomaly Detection
VLM-HOI: Vision Language Models for Interpretable Human-Object Interaction Analysis
TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition
EntityCLIP: Entity-Centric Image-Text Matching via Multimodal Attentive Contrastive Learning
Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching
Storyboard guided Alignment for Fine-grained Video Action Recognition
Enhance Graph Alignment for Large Language Models
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
DARE: Diverse Visual Question Answering with Robustness Evaluation
jina-embeddings-v3: Multilingual Embeddings With Task LoRA
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training
LLaQo: Towards a Query-Based Coach in Expressive Music Performance Assessment
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