Imagen de Portada

NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Zheyuan, Li, Runze, Kabir, Tasnim, Boyd-Graber, Jordan
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models
por: Wu, Xiyang, et al.
Publicado: (2024)

Natural Language Inference Improves Compositionality in Vision-Language Models
por: Cascante-Bonilla, Paola, et al.
Publicado: (2024)

NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
por: Li, Baiqi, et al.
Publicado: (2024)

Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities
por: Zhang, Zheyuan, et al.
Publicado: (2024)

Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
por: Diao, Xingjian, et al.
Publicado: (2026)

Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties
por: Yu, Keunwoo Peter, et al.
Publicado: (2023)

Self-Rewarding Vision-Language Model via Reasoning Decomposition
por: Li, Zongxia, et al.
Publicado: (2025)

Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks
por: Jia, Mengzhao, et al.
Publicado: (2024)

Lost in Embeddings: Information Loss in Vision-Language Models
por: Li, Wenyan, et al.
Publicado: (2025)

Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
por: Wang, Weihang, et al.
Publicado: (2025)

Vision Language Models Are Not (Yet) Spelling Correctors
por: Liang, Junhong, et al.
Publicado: (2025)

Enhancing Large Vision Language Models with Self-Training on Image Comprehension
por: Deng, Yihe, et al.
Publicado: (2024)

TemMed-Bench: Evaluating Temporal Medical Image Reasoning in Vision-Language Models
por: Zhang, Junyi, et al.
Publicado: (2025)

Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance
por: Zhao, Haozhe, et al.
Publicado: (2024)

SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
por: Liu, Zheng, et al.
Publicado: (2024)

FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models
por: Cai, Hengxing, et al.
Publicado: (2025)

How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?
por: Lee, Seongyun, et al.
Publicado: (2024)

Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone
por: Ye, Jiacheng, et al.
Publicado: (2025)

CLIP-Adapter: Better Vision-Language Models with Feature Adapters
por: Gao, Peng, et al.
Publicado: (2021)

On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
por: Kim, Geewook, et al.
Publicado: (2024)

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model
por: Dong, Xiaoyi, et al.
Publicado: (2024)

Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification
por: Ye, Yaoqin, et al.
Publicado: (2024)

Iterative Self-Improvement of Vision Language Models for Image Scoring and Self-Explanation
por: Tanji, Naoto, et al.
Publicado: (2025)

Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models
por: Wei, Canshi
Publicado: (2024)

What Do Vision-Language Models Encode for Personalized Image Aesthetics Assessment?
por: Ryu, Koki, et al.
Publicado: (2026)

Why do LLaVA Vision-Language Models Reply to Images in English?
por: Hinck, Musashi, et al.
Publicado: (2024)

LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
por: Fei, Senyu, et al.
Publicado: (2025)

Vision-Language Models Do Not Understand Negation
por: Alhamoud, Kumail, et al.
Publicado: (2025)

Image-Based Geolocation Using Large Vision-Language Models
por: Liu, Yi, et al.
Publicado: (2024)

Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
por: Chen, Qizhou, et al.
Publicado: (2024)

TimeSpot: Benchmarking Geo-Temporal Understanding in Vision-Language Models in Real-World Settings
por: Wasi, Azmine Toushik, et al.
Publicado: (2026)

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning
por: Fuller, Harrison, et al.
Publicado: (2025)

Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
por: Lu, Yifan, et al.
Publicado: (2025)

Do Vision-Language Models Really Understand Visual Language?
por: Hou, Yifan, et al.
Publicado: (2024)

Visual In-Context Learning for Large Vision-Language Models
por: Zhou, Yucheng, et al.
Publicado: (2024)

GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models
por: Sharma, Aditya, et al.
Publicado: (2024)

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models
por: Chen, Junzhe, et al.
Publicado: (2024)

Evaluation of Cultural Competence of Vision-Language Models
por: Yadav, Srishti, et al.
Publicado: (2025)

NPHardEval4V: Dynamic Evaluation of Large Vision-Language Models with Effects of Vision
por: Li, Xiang, et al.
Publicado: (2024)

ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding
por: Kang, Jialiang, et al.
Publicado: (2025)