Cover Image

MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Pu, Dong, Bin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pre-Trained CNN Architecture for Transformer-Based Image Caption Generation Model
by: Dufera, Amanuel Tafese
Published: (2025)

CaptionFool: Universal Image Captioning Model Attacks
by: Parekh, Swapnil
Published: (2026)

An Ensemble Model with Attention Based Mechanism for Image Captioning
by: Badarneh, Israa Al, et al.
Published: (2025)

Is Your Text-to-Image Model Robust to Caption Noise?
by: Yu, Weichen, et al.
Published: (2024)

The Power of Many: Multi-Agent Multimodal Models for Cultural Image Captioning
by: Bai, Longju, et al.
Published: (2024)

From Simple to Professional: A Combinatorial Controllable Image Captioning Agent
by: Wang, Xinran, et al.
Published: (2024)

Generating Accurate and Detailed Captions for High-Resolution Images
by: Lee, Hankyeol, et al.
Published: (2025)

Image Captioning in news report scenario
by: Liu, Tianrui, et al.
Published: (2024)

RS-MoE: A Vision-Language Model with Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering
by: Lin, Hui, et al.
Published: (2024)

AGIC: Attention-Guided Image Captioning to Improve Caption Relevance
by: Teja, L. D. M. S. Sai, et al.
Published: (2025)

Cross Modification Attention Based Deliberation Model for Image Captioning
by: Lian, Zheng, et al.
Published: (2021)

XMeCap: Meme Caption Generation with Sub-Image Adaptability
by: Chen, Yuyan, et al.
Published: (2024)

Top-Down Semantic Refinement for Image Captioning
by: Zhang, Jusheng, et al.
Published: (2025)

Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
by: Lv, Xingguo, et al.
Published: (2025)

Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation
by: Liu, Kaiyuan, et al.
Published: (2024)

Enhancing Image Caption Generation Using Reinforcement Learning with Human Feedback
by: L, Adarsh N, et al.
Published: (2024)

Automated Image Captioning with CNNs and Transformers
by: Cahyono, Joshua Adrian, et al.
Published: (2024)

Hierarchical Dual-Change Collaborative Learning for UAV Scene Change Captioning
by: Chen, Fuhai, et al.
Published: (2026)

good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
by: Kolouju, Pranavi, et al.
Published: (2025)

Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation
by: Li, Zhiyuan, et al.
Published: (2023)

Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation
by: Wu, Shengqiong, et al.
Published: (2025)

MUSES: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration
by: Ding, Yanbo, et al.
Published: (2024)

Image Embedding Sampling Method for Diverse Captioning
by: Waheed, Sania, et al.
Published: (2025)

Explainable, Multi-modal Wound Infection Classification from Images Augmented with Generated Captions
by: Busaranuvong, Palawat, et al.
Published: (2025)

World-To-Image: Grounding Text-to-Image Generation with Agent-Driven World Knowledge
by: Son, Moo Hyun, et al.
Published: (2025)

BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning
by: Ye, Shaokai, et al.
Published: (2026)

Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
by: Sharifzadeh, Sahand, et al.
Published: (2024)

DCSCR: A Class-Specific Collaborative Representation based Network for Image Set Classification
by: Gao, Xizhan, et al.
Published: (2025)

WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images
by: Chen, Pingyi, et al.
Published: (2023)

CoAgent: Collaborative Planning and Consistency Agent for Coherent Video Generation
by: Zeng, Qinglin, et al.
Published: (2025)

Describe Anything: Detailed Localized Image and Video Captioning
by: Lian, Long, et al.
Published: (2025)

ReflectCAP: Detailed Image Captioning with Reflective Memory
by: Min, Kyungmin, et al.
Published: (2026)

Image Captions are Natural Prompts for Text-to-Image Models
by: Lei, Shiye, et al.
Published: (2023)

Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image Generations
by: Liu, Haoming, et al.
Published: (2023)

Parrot Captions Teach CLIP to Spot Text
by: Lin, Yiqi, et al.
Published: (2023)

Retrieval-Guided Generation for Safer Histopathology Image Captioning
by: Hoq, Md. Enamul, et al.
Published: (2026)

MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents
by: Xing, Yun, et al.
Published: (2024)

Multi-Agent Image Restoration
by: Jiang, Xu, et al.
Published: (2025)

Uterine Ultrasound Image Captioning Using Deep Learning Techniques
by: Boulesnane, Abdennour, et al.
Published: (2024)

KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph
by: Jiang, Yanbei, et al.
Published: (2024)