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Image Retrieval with Multi-Modal Query
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The problem of retrieving images from a database based on a multi-modal (image- text) query. Specifically, the query text prompts some modification in the query image and the task is to retrieve images with the desired modifications.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval
Multimodal Medical Image Binding via Shared Text Embeddings
ContextRefine-CLIP for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2025
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models
Multimodal Representation Alignment for Cross-modal Information Retrieval
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models
SA-Person: Text-Based Person Retrieval with Scene-aware Re-ranking
EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast
FOLIAGE: Towards Physical Intelligence World Models Via Unbounded Surface Evolution
DocMMIR: A Framework for Document Multi-modal Information Retrieval
TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP
GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval
SMOTExT: SMOTE meets Large Language Models
Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping
Towards Cross-modal Retrieval in Chinese Cultural Heritage Documents: Dataset and Solution
Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner
CellCLIP -- Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning
Descriptive Image-Text Matching with Graded Contextual Similarity
MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
Compositional Image-Text Matching and Retrieval by Grounding Entities
Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
Improving Sound Source Localization with Joint Slot Attention on Image and Audio
SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching
Dependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage
Learning Sparse Disentangled Representations for Multimodal Exclusion Retrieval
FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs
LRSCLIP: A Vision-Language Foundation Model for Aligning Remote Sensing Image with Longer Text
Seeing Speech and Sound: Distinguishing and Locating Audios in Visual Scenes
PromptHash: Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing Retrieval
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