Cover Image

Pre-Trained CNN Architecture for Transformer-Based Image Caption Generation Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Dufera, Amanuel Tafese
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

SEMT: Static-Expansion-Mesh Transformer Network Architecture for Remote Sensing Image Captioning
by: Truong, Khang, et al.
Published: (2025)

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

GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model
by: Yu, Caiyang, et al.
Published: (2023)

MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning
by: Yang, Pu, et al.
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)

Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic
by: Shah, Monika, et al.
Published: (2025)

ConfidentSplat: Confidence-Weighted Depth Fusion for Accurate 3D Gaussian Splatting SLAM
by: Dufera, Amanuel T., et al.
Published: (2025)

Towards Retrieval-Augmented Architectures for Image Captioning
by: Sarto, Sara, et al.
Published: (2024)

Masked Generative Story Transformer with Character Guidance and Caption Augmentation
by: Papadimitriou, Christos, et al.
Published: (2024)

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

A Comparative Study of Adversarial Robustness in CNN and CNN-ANFIS Architectures
by: Shankar, Kaaustaaub, et al.
Published: (2026)

Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification
by: Basyal, Ganga Prasad, et al.
Published: (2024)

Pre-Trained Video Generative Models as World Simulators
by: He, Haoran, et al.
Published: (2025)

Explainable Image Captioning using CNN- CNN architecture and Hierarchical Attention
by: Mohan, Rishi Kesav, 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)

Evolving CNN Architectures: From Custom Designs to Deep Residual Models for Diverse Image Classification and Detection Tasks
by: Hasan, Mahmudul, et al.
Published: (2026)

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

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training
by: Zhang, Xinsong, et al.
Published: (2025)

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

Optimizing Gastrointestinal Diagnostics: A CNN-Based Model for VCE Image Classification
by: Ahlawat, Vaneeta, et al.
Published: (2024)

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
by: Lai, Zhengfeng, et al.
Published: (2024)

Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models
by: Li, Meiling, et al.
Published: (2024)

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification
by: Cheon, Minjong, et al.
Published: (2025)

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

When Better Eyes Lead to Blindness: A Diagnostic Study of the Information Bottleneck in CNN-LSTM Image Captioning Models
by: Gupta, Hitesh Kumar
Published: (2025)

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions
by: Brack, Manuel, et al.
Published: (2025)

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

Team NYCU at Defactify4: Robust Detection and Source Identification of AI-Generated Images Using CNN and CLIP-Based Models
by: Yang, Tsan-Tsung, et al.
Published: (2025)

Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
by: Qiu, Longtian, et al.
Published: (2024)

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)

AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures
by: Urmi, Sifatullah Sheikh, et al.
Published: (2026)

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

Refining Pre-Trained Motion Models
by: Sun, Xinglong, et al.
Published: (2024)

A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Disease Detection from Retinal Fundus Images
by: Djoumessi, Kerol, et al.
Published: (2025)

Generative Pre-trained Autoregressive Diffusion Transformer
by: Zhang, Yuan, et al.
Published: (2025)

Detecting Facial Image Manipulations with Multi-Layer CNN Models
by: Montejano, Alejandro Marco, et al.
Published: (2024)

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