Cover Image

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Chengtai, Zhou, Fan, Dai, Yurou, Wang, Jianping, Zhang, Kunpeng
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Data Augmentation in Large Model Era
by: Zhou, Yue, et al.
Published: (2024)

Vision Mamba: A Comprehensive Survey and Taxonomy
by: Liu, Xiao, et al.
Published: (2024)

Sparrow: Data-Efficient Video-LLM with Text-to-Image Augmentation
by: Yin, Shukang, et al.
Published: (2024)

Enhancing Document Key Information Localization Through Data Augmentation
by: Dai, Yue
Published: (2025)

Hyperbolic Multimodal Representation Learning for Biological Taxonomies
by: Gong, ZeMing, et al.
Published: (2025)

TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training
by: Jiang, Chaoya, et al.
Published: (2023)

Towards Transparent AI: A Survey on Explainable Large Language Models
by: Palikhe, Avash, et al.
Published: (2025)

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
by: Yang, Enneng, et al.
Published: (2024)

Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy, Trends and Metrics Analysis
by: Berger, Uri, et al.
Published: (2024)

A Language Anchor-Guided Method for Robust Noisy Domain Generalization
by: Dai, Zilin, et al.
Published: (2025)

Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
by: Brüel-Gabrielsson, Rickard, et al.
Published: (2023)

Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition
by: Tang, Minxue, et al.
Published: (2026)

Contrastive Visual Data Augmentation
by: Zhou, Yu, et al.
Published: (2025)

C2-Evo: Co-Evolving Multimodal Data and Model for Self-Improving Reasoning
by: Chen, Xiuwei, et al.
Published: (2025)

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations
by: Lan, Tian, et al.
Published: (2025)

Learning Self-Correction in Vision-Language Models via Rollout Augmentation
by: Ding, Yi, et al.
Published: (2026)

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use
by: Hu, Xueyu, et al.
Published: (2025)

CapsFusion: Rethinking Image-Text Data at Scale
by: Yu, Qiying, et al.
Published: (2023)

DeepCoT: Deep Continual Transformers for Real-Time Inference on Data Streams
by: Picón, Ginés Carreto, et al.
Published: (2025)

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
by: Shu, Dong, et al.
Published: (2025)

Mamba in Vision: A Comprehensive Survey of Techniques and Applications
by: Rahman, Md Maklachur, et al.
Published: (2024)

MixCut:A Data Augmentation Method for Facial Expression Recognition
by: Yu, Jiaxiang, et al.
Published: (2024)

A Survey on Transformer Compression
by: Tang, Yehui, et al.
Published: (2024)

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
by: Xue, Yihao, et al.
Published: (2023)

ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods
by: Hogea, Eduard, et al.
Published: (2024)

Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding
by: Gao, Sensen, et al.
Published: (2025)

ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation
by: Wu, Mengyang, et al.
Published: (2024)

The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation
by: Jung, Hoin, et al.
Published: (2026)

A Survey on Hallucination in Large Vision-Language Models
by: Liu, Hanchao, et al.
Published: (2024)

GeoMix: Towards Geometry-Aware Data Augmentation
by: Zhao, Wentao, et al.
Published: (2024)

RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
by: Park, Jonggwon, et al.
Published: (2025)

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
by: Wang, Weiyun, et al.
Published: (2024)

MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification
by: Sun, Linzhuang, et al.
Published: (2025)

Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy
by: Pattnayak, Priyaranjan, et al.
Published: (2024)

Residual-based Language Models are Free Boosters for Biomedical Imaging
by: Lai, Zhixin, et al.
Published: (2024)

UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
by: Xiao, Han, et al.
Published: (2025)

RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase Extraction
by: Park, Jonggwon, et al.
Published: (2025)

LaMI: Augmenting Large Language Models via Late Multi-Image Fusion
by: Yariv, Guy, et al.
Published: (2024)

Survey of Video Diffusion Models: Foundations, Implementations, and Applications
by: Wang, Yimu, et al.
Published: (2025)

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
by: McKinzie, Brandon, et al.
Published: (2024)