:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yoon, Seungri, Cho, Yunseong, Ahn, Tae In
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2407.10413
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Image Quality Assessment Ability of LMMs via Retrieval-Augmented Generation
by: Fu, Kang, et al.
Published: (2026)

PCEvE: Part Contribution Evaluation Based Model Explanation for Human Figure Drawing Assessment and Beyond
by: Lee, Jongseo, et al.
Published: (2024)

Hyperspectral Imaging-Based Grain Quality Assessment With Limited Labelled Data
by: Karmakar, Priyabrata, et al.
Published: (2024)

AI-generated Image Quality Assessment in Visual Communication
by: Tian, Yu, et al.
Published: (2024)

ELIQ: A Label-Free Framework for Quality Assessment of Evolving AI-Generated Images
by: Li, Xinyue, et al.
Published: (2026)

Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement
by: Lee, Daeun, et al.
Published: (2024)

Vision-Language Consistency Guided Multi-modal Prompt Learning for Blind AI Generated Image Quality Assessment
by: Fu, Jun, et al.
Published: (2024)

DragonFruitQualityNet: A Lightweight Convolutional Neural Network for Real-Time Dragon Fruit Quality Inspection on Mobile Devices
by: Haquea, Md Zahurul, et al.
Published: (2025)

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment
by: Han, Shuhao, et al.
Published: (2025)

Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
by: Yoon, Suhee, et al.
Published: (2024)

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection
by: Sun, Haibin, et al.
Published: (2025)

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
by: Li, Jialu, et al.
Published: (2024)

Synthetic Data Augmentation for Table Detection: Re-evaluating TableNet's Performance with Automatically Generated Document Images
by: Sahukara, Krishna, et al.
Published: (2025)

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)

Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach
by: Yan, Jiebin, et al.
Published: (2026)

AI-Enhanced Pediatric Pneumonia Detection: A CNN-Based Approach Using Data Augmentation and Generative Adversarial Networks (GANs)
by: Manaf, Abdul, et al.
Published: (2025)

CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection
by: Feng, Huidong, et al.
Published: (2026)

Phase-OTDR Event Detection Using Image-Based Data Transformation and Deep Learning
by: Yeke, Muhammet Cagri, et al.
Published: (2025)

Eye Sclera for Fair Face Image Quality Assessment
by: Kabbani, Wassim, et al.
Published: (2025)

LMM-IQA: Image Quality Assessment for Low-Dose CT Imaging
by: Celik, Kagan, et al.
Published: (2025)

MIRAGE: Towards AI-Generated Image Detection in the Wild
by: Xia, Cheng, et al.
Published: (2025)

Efficient Zero-Shot AI-Generated Image Detection
by: Sonoda, Ryosuke, et al.
Published: (2026)

Detection of AI Generated Images Using Combined Uncertainty Measures and Particle Swarm Optimised Rejection Mechanism
by: Yumlembam, Rahul, et al.
Published: (2025)

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward
by: Islam, Muhammad, et al.
Published: (2025)

TIER: Text-Image Encoder-based Regression for AIGC Image Quality Assessment
by: Yuan, Jiquan, et al.
Published: (2024)

Progressive Feature Fusion Network for Enhancing Image Quality Assessment
by: Wu, Kaiqun, et al.
Published: (2024)

Understanding Pure Textual Reasoning for Blind Image Quality Assessment
by: Li, Yuan, et al.
Published: (2026)

Rethinking Bias in Generative Data Augmentation for Medical AI: a Frequency Recalibration Method
by: Liu, Chi, et al.
Published: (2025)

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models
by: Abud, Khaled, et al.
Published: (2024)

An Interpretable Local Editing Model for Counterfactual Medical Image Generation
by: Min, Hyungi, et al.
Published: (2026)

Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction
by: Jain, Riddhi, et al.
Published: (2025)

Decoupled Data Augmentation for Improving Image Classification
by: Chen, Ruoxin, et al.
Published: (2024)

MoireMix: A Formula-Based Data Augmentation for Improving Image Classification Robustness
by: Matsuo, Yuto, et al.
Published: (2026)

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards
by: Kim, Seungwook, et al.
Published: (2026)

FruitProM-V2: Robust Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
by: Cheppally, Rahul Harsha, et al.
Published: (2026)

2AFC Prompting of Large Multimodal Models for Image Quality Assessment
by: Zhu, Hanwei, et al.
Published: (2024)

Guiding Perception-Reasoning Closer to Human in Blind Image Quality Assessment
by: Li, Yuan, et al.
Published: (2025)

IQAGPT: Image Quality Assessment with Vision-language and ChatGPT Models
by: Chen, Zhihao, et al.
Published: (2023)

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings
by: He, Dongli, et al.
Published: (2025)

Decoupling Perception and Calibration: Label-Efficient Image Quality Assessment Framework
by: Li, Xinyue, et al.
Published: (2026)