Image de couverture de livre

Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Xin, Tan, Robby T.
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
par: Wei, Zhixiang, et autres
Publié: (2023)

Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic Segmentation
par: Zhang, Yin, et autres
Publié: (2025)

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
par: Yang, Xin, et autres
Publié: (2024)

Rein++: Efficient Generalization and Adaptation for Semantic Segmentation with Vision Foundation Models
par: Wei, Zhixiang, et autres
Publié: (2025)

CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation
par: Gong, Ziyang, et autres
Publié: (2024)

CrossHOI-Bench: A Unified Benchmark for HOI Evaluation across Vision-Language Models and HOI-Specific Methods
par: Lei, Qinqian, et autres
Publié: (2025)

Annotation Free Semantic Segmentation with Vision Foundation Models
par: Seifi, Soroush, et autres
Publié: (2024)

White-Balance First, Adjust Later: Cross-Camera Color Constancy via Vision-Language Evaluation
par: Li, Shuwei, et autres
Publié: (2026)

Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
par: Wang, Jin, et autres
Publié: (2025)

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
par: Zhang, Chaoning, et autres
Publié: (2023)

Vision-Language Semantic Aggregation Leveraging Foundation Model for Generalizable Medical Image Segmentation
par: Yu, Wenjun, et autres
Publié: (2025)

Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation
par: Ma, Junyuan, et autres
Publié: (2026)

ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models
par: Truong, Thanh-Dat, et autres
Publié: (2024)

Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation
par: Lv, Chonghua, et autres
Publié: (2026)

Tell Model Where to Look: Mitigating Hallucinations in MLLMs by Vision-Guided Attention
par: Zhao, Jianfei, et autres
Publié: (2025)

FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
par: Zhao, Dong, et autres
Publié: (2025)

Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
par: Cekmeceli, Kerem, et autres
Publié: (2024)

Vision-Language Semantic Grounding for Multi-Domain Crop-Weed Segmentation
par: Hossain, Nazia, et autres
Publié: (2026)

PolarVLM: Bridging the Semantic-Physical Gap in Vision-Language Models
par: Li, Yuliang, et autres
Publié: (2026)

InfoCLIP: Bridging Vision-Language Pretraining and Open-Vocabulary Semantic Segmentation via Information-Theoretic Alignment Transfer
par: Yuan, Muyao, et autres
Publié: (2025)

Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
par: Pan, Tan, et autres
Publié: (2025)

Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation
par: Liu, Jie, et autres
Publié: (2025)

Vision Foundation Models as Generalist Tokenizers for Image Generation
par: Zheng, Anlin, et autres
Publié: (2026)

Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?
par: Fuster-Barceló, Caterina, et autres
Publié: (2026)

A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models
par: Schwonberg, Manuel, et autres
Publié: (2024)

Set Pivot Learning: Redefining Generalized Segmentation with Vision Foundation Models
par: Li, Xinhui, et autres
Publié: (2025)

Image Re-Identification: Where Self-supervision Meets Vision-Language Learning
par: Wang, Bin, et autres
Publié: (2024)

Toward Semantic-Agnostic and Shape-Aware Vision-Language Segmentation Models
par: Seutin, Corentin, et autres
Publié: (2026)

Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation
par: Zhao, Shihao, et autres
Publié: (2024)

Small Language Model Meets with Reinforced Vision Vocabulary
par: Wei, Haoran, et autres
Publié: (2024)

Probing and Bridging Geometry-Interaction Cues for Affordance Reasoning in Vision Foundation Models
par: Zhang, Qing, et autres
Publié: (2026)

TASeg: Text-aware RGB-T Semantic Segmentation based on Fine-tuning Vision Foundation Models
par: Yu, Meng, et autres
Publié: (2025)

Vision-Language Enhanced Foundation Model for Semi-supervised Medical Image Segmentation
par: Guo, Jiaqi, et autres
Publié: (2025)

Hyperspectral Adapter for Semantic Segmentation with Vision Foundation Models
par: Hurtado, Juana Valeria, et autres
Publié: (2025)

How to Benchmark Vision Foundation Models for Semantic Segmentation?
par: Kerssies, Tommie, et autres
Publié: (2024)

Revisiting Continual Semantic Segmentation with Pre-trained Vision Models
par: Zhang, Duzhen, et autres
Publié: (2025)

Bridging Day and Night: Target-Class Hallucination Suppression in Unpaired Image Translation
par: Li, Shuwei, et autres
Publié: (2026)

Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
par: Guo, Jianyuan, et autres
Publié: (2024)

Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
par: Zhao, Shizhen, et autres
Publié: (2025)

Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation
par: Noori, Mehrdad, et autres
Publié: (2025)