Cover Image

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sapkota, Ranjan, Raza, Shaina, Shoman, Maged, Paudel, Achyut, Karkee, Manoj
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development
by: Sapkota, Ranjan, et al.
Published: (2024)

Generative AI in Agriculture: Creating Image Datasets Using DALL.E's Advanced Large Language Model Capabilities
by: Sapkota, Ranjan, et al.
Published: (2023)

Object Detection with Multimodal Large Vision-Language Models: An In-depth Review
by: Sapkota, Ranjan, et al.
Published: (2025)

Improved YOLOv12 with LLM-Generated Synthetic Data for Enhanced Apple Detection and Benchmarking Against YOLOv11 and YOLOv10
by: Sapkota, Ranjan, et al.
Published: (2025)

YOLO11 and Vision Transformers based 3D Pose Estimation of Immature Green Fruits in Commercial Apple Orchards for Robotic Thinning
by: Sapkota, Ranjan, et al.
Published: (2024)

Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment
by: Sapkota, Ranjan, et al.
Published: (2024)

YOLOE-26: Integrating YOLO26 with YOLOE for Real-Time Open-Vocabulary Instance Segmentation
by: Sapkota, Ranjan, et al.
Published: (2026)

Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchards
by: Sapkota, Ranjan, et al.
Published: (2024)

Ultralytics YOLO Evolution: An Overview of YOLO26, YOLO11, YOLOv8 and YOLOv5 Object Detectors for Computer Vision and Pattern Recognition
by: Sapkota, Ranjan, et al.
Published: (2025)

Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
by: Sapkota, Ranjan, et al.
Published: (2023)

Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks
by: Roumeliotis, Konstantinos I., et al.
Published: (2025)

The SAM2-to-SAM3 Gap in the Segment Anything Model Family: Why Prompt-Based Expertise Fails in Concept-Driven Image Segmentation
by: Sapkota, Ranjan, et al.
Published: (2025)

Vision-Language-Action (VLA) Models: Concepts, Progress, Applications and Challenges
by: Sapkota, Ranjan, et al.
Published: (2025)

Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models
by: Sapkota, Ranjan, et al.
Published: (2025)

Immature Green Apple Detection and Sizing in Commercial Orchards using YOLOv8 and Shape Fitting Techniques
by: Sapkota, Ranjan, et al.
Published: (2023)

RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity
by: Sapkota, Ranjan, et al.
Published: (2025)

YOLO26: Key Architectural Enhancements and Performance Benchmarking for Real-Time Object Detection
by: Sapkota, Ranjan, et al.
Published: (2025)

Generalization vs. Specialization: Evaluating Segment Anything Model (SAM3) Zero-Shot Segmentation Against Fine-Tuned YOLO Detectors
by: Sapkota, Ranjan, et al.
Published: (2025)

A Review of 3D Object Detection with Vision-Language Models
by: Sapkota, Ranjan, et al.
Published: (2025)

YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series
by: Sapkota, Ranjan, et al.
Published: (2024)

3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP
by: Sapkota, Ranjan, et al.
Published: (2025)

Comprehensive Performance Evaluation of YOLOv12, YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments
by: Sapkota, Ranjan, et al.
Published: (2024)

Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis
by: Shoman, Maged, et al.
Published: (2024)

SONIC-O1: A Real-World Benchmark for Evaluating Multimodal Large Language Models on Audio-Video Understanding
by: Radwan, Ahmed Y., et al.
Published: (2026)

Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets
by: Tran, Dai Quoc, et al.
Published: (2024)

Bias in the Picture: Benchmarking VLMs with Social-Cue News Images and LLM-as-Judge Assessment
by: Narayanan, Aravind, et al.
Published: (2025)

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models
by: Khan, Sumra, et al.
Published: (2026)

LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation
by: Raval, Ananya, et al.
Published: (2025)

TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems
by: Raza, Shaina, et al.
Published: (2025)

Safety of Multimodal Large Language Models on Images and Texts
by: Liu, Xin, et al.
Published: (2024)

DanceText: A Training-Free Layered Framework for Controllable Multilingual Text Transformation in Images
by: Yu, Zhenyu, et al.
Published: (2025)

A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge
by: Dahri, Tarique, et al.
Published: (2025)

Machine Vision-Based Assessment of Fall Color Changes and its Relationship with Leaf Nitrogen Concentration
by: Paudel, Achyut, et al.
Published: (2024)

A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models
by: Shuai, Xincheng, et al.
Published: (2024)

Integrating Feature Selection and Machine Learning for Nitrogen Assessment in Grapevine Leaves using In-Field Hyperspectral Imaging
by: Asad, Atif Bilal, et al.
Published: (2025)

Data Augmentation for Text-based Person Retrieval Using Large Language Models
by: Li, Zheng, et al.
Published: (2024)

Multimodal Large Language Models for Text-rich Image Understanding: A Comprehensive Review
by: Fu, Pei, et al.
Published: (2025)

HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation
by: Raza, Shaina, et al.
Published: (2025)

Hallucination of Multimodal Large Language Models: A Survey
by: Bai, Zechen, et al.
Published: (2024)

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
by: Meng, Chutian, et al.
Published: (2024)