Copertina

Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qiu, Jielin, Zhu, Yi, Shi, Xingjian, Wenzel, Florian, Tang, Zhiqiang, Zhao, Ding, Li, Bo, Li, Mu
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Evaluating Durability: Benchmark Insights into Multimodal Watermarking
di: Qiu, Jielin, et al.
Pubblicazione: (2024)

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
di: Li, Jiansheng, et al.
Pubblicazione: (2025)

OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
di: Li, Lin, et al.
Pubblicazione: (2023)

On the Robustness of Human-Object Interaction Detection against Distribution Shift
di: Xie, Chi, et al.
Pubblicazione: (2025)

FTII-Bench: A Comprehensive Multimodal Benchmark for Flow Text with Image Insertion
di: Ruan, Jiacheng, et al.
Pubblicazione: (2024)

Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift
di: Liao, Jingyi, et al.
Pubblicazione: (2025)

Towards Robust Multimodal Emotion Recognition under Missing Modalities and Distribution Shifts
di: Zhong, Guowei, et al.
Pubblicazione: (2025)

MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark
di: Shan, Bin, et al.
Pubblicazione: (2024)

Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning
di: Tang, Luyao, et al.
Pubblicazione: (2024)

Removing Distributional Discrepancies in Captions Improves Image-Text Alignment
di: Li, Yuheng, et al.
Pubblicazione: (2024)

CRISP: Rank-Guided Iterative Squeezing for Robust Medical Image Segmentation under Domain Shift
di: Fang, Yizhou, et al.
Pubblicazione: (2026)

Robust Visual Representation Learning with Multi-modal Prior Knowledge for Image Classification Under Distribution Shift
di: Zhou, Hongkuan, et al.
Pubblicazione: (2024)

UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing
di: Ma, Lichen, et al.
Pubblicazione: (2026)

Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts
di: Chhipa, Prakash Chandra, et al.
Pubblicazione: (2024)

Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency
di: Wang, Zhikai, et al.
Pubblicazione: (2025)

Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
di: Al-Emadi, Sara, et al.
Pubblicazione: (2025)

DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization
di: Hou, Feng, et al.
Pubblicazione: (2024)

CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts
di: Dünkel, Olaf, et al.
Pubblicazione: (2025)

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains
di: Lin, Yumeng, et al.
Pubblicazione: (2025)

COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts
di: Wang, Bingli, et al.
Pubblicazione: (2026)

Robust Phase-Shifting Profilometry for Arbitrary Motion
di: Zhang, Geyou, et al.
Pubblicazione: (2025)

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark
di: Ning, Junzhi, et al.
Pubblicazione: (2026)

MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning
di: Liang, Yiqing, et al.
Pubblicazione: (2025)

Beyond Walking: A Large-Scale Image-Text Benchmark for Text-based Person Anomaly Search
di: Yang, Shuyu, et al.
Pubblicazione: (2024)

Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining
di: Liu, Dongyang, et al.
Pubblicazione: (2024)

MINOS: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text
di: Zhang, Junzhe, et al.
Pubblicazione: (2025)

TextCAM: Explaining Class Activation Map with Text
di: Zhao, Qiming, et al.
Pubblicazione: (2025)

Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
di: Gao, Zhitong, et al.
Pubblicazione: (2024)

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models
di: Wang, Jiarui, et al.
Pubblicazione: (2025)

What Color Is It? A Text-Interference Multimodal Hallucination Benchmark
di: Zhao, Jinkun, et al.
Pubblicazione: (2025)

FlowInOne:Unifying Multimodal Generation as Image-in, Image-out Flow Matching
di: Yi, Junchao, et al.
Pubblicazione: (2026)

Affective Image Editing: Shaping Emotional Factors via Text Descriptions
di: Zhang, Peixuan, et al.
Pubblicazione: (2025)

ConceptGuard: Proactive Safety in Text-and-Image-to-Video Generation through Multimodal Risk Detection
di: Ma, Ruize, et al.
Pubblicazione: (2025)

SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
di: Li, Bohao, et al.
Pubblicazione: (2024)

LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift
di: Si, Haozhe, et al.
Pubblicazione: (2026)

15M Multimodal Facial Image-Text Dataset
di: Dai, Dawei, et al.
Pubblicazione: (2024)

Class Similarity-Based Multimodal Classification under Heterogeneous Category Sets
di: Zhu, Yangrui, et al.
Pubblicazione: (2025)

T2MBench: A Benchmark for Out-of-Distribution Text-to-Motion Generation
di: Yang, Bin, et al.
Pubblicazione: (2026)

Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
di: Gupta, Madhav, et al.
Pubblicazione: (2025)

Generating Multimodal Images with GAN: Integrating Text, Image, and Style
di: Tan, Chaoyi, et al.
Pubblicazione: (2025)