Cover Image

When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Junwei, Zhang, Yingying, Yang, Xue, Wu, Kang, Zhu, Qi, Liang, Lei, Chen, Jingdong, Li, Yansheng
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing
by: Zhang, Yingying, et al.
Published: (2025)

SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding
by: Luo, Junwei, et al.
Published: (2024)

ResPrune: Text-Conditioned Subspace Reconstruction for Visual Token Pruning in Large Vision-Language Models
by: Li, Xu, et al.
Published: (2026)

HoliTracer: Holistic Vectorization of Geographic Objects from Large-Size Remote Sensing Imagery
by: Wang, Yu, et al.
Published: (2025)

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
by: Guo, Xin, et al.
Published: (2023)

Pyramid Token Pruning for High-Resolution Large Vision-Language Models via Region, Token, and Instruction-Guided Importance
by: Liang, Yuxuan, et al.
Published: (2025)

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering
by: Zhao, Zhicheng, et al.
Published: (2024)

Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models
by: Ma, Kexin, et al.
Published: (2026)

Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models
by: Wang, Dongdong, et al.
Published: (2026)

When Large Vision-Language Models Meet Person Re-Identification
by: Wang, Qizao, et al.
Published: (2024)

TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model
by: Li, Ao, et al.
Published: (2025)

IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models
by: Lee, Dong-Jae, et al.
Published: (2026)

Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation
by: Sun, Yanguang, et al.
Published: (2026)

STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery
by: Li, Yansheng, et al.
Published: (2024)

SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery
by: Spradlin, Caleb S., et al.
Published: (2024)

When Large Language Model Meets Optimization
by: Huang, Sen, et al.
Published: (2024)

Multimodal Urban Areas of Interest Generation via Remote Sensing Imagery and Geographical Prior
by: Shi, Chuanji, et al.
Published: (2024)

Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study
by: Zhu, Qinfeng, et al.
Published: (2024)

EntropyPrune: Matrix Entropy Guided Visual Token Pruning for Multimodal Large Language Models
by: Wang, Yahong, et al.
Published: (2026)

EM-KD: Distilling Efficient Multimodal Large Language Model with Unbalanced Vision Tokens
by: Feng, Ze, et al.
Published: (2025)

MEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification with Zoom-Free Remote Sensing Imagery
by: Li, Yansheng, et al.
Published: (2025)

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models
by: Sun, Yizheng, et al.
Published: (2025)

GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding
by: Zhou, Yue, et al.
Published: (2024)

QAPruner: Quantization-Aware Vision Token Pruning for Multimodal Large Language Models
by: Wang, Xinhao, et al.
Published: (2026)

ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models
by: Ye, Xubing, et al.
Published: (2024)

Multi-Cue Adaptive Visual Token Pruning for Large Vision-Language Models
by: Luan, Bozhi, et al.
Published: (2025)

Co-Training Vision Language Models for Remote Sensing Multi-task Learning
by: Li, Qingyun, et al.
Published: (2025)

LaMsS: When Large Language Models Meet Self-Skepticism
by: Wu, Yetao, et al.
Published: (2024)

Semantically Aware UAV Landing Site Assessment from Remote Sensing Imagery via Multimodal Large Language Models
by: Hua, Chunliang, et al.
Published: (2026)

An Examination of the Compositionality of Large Generative Vision-Language Models
by: Ma, Teli, et al.
Published: (2023)

Efficient Vision-Language Reasoning via Adaptive Token Pruning
by: Li, Xue, et al.
Published: (2025)

OpenDPR: Open-Vocabulary Change Detection via Vision-Centric Diffusion-Guided Prototype Retrieval for Remote Sensing Imagery
by: Guo, Qi, et al.
Published: (2026)

Saliency-driven Dynamic Token Pruning for Large Language Models
by: Tao, Yao, et al.
Published: (2025)

ProVG: Progressive Visual Grounding via Language Decoupling for Remote Sensing Imagery
by: Li, Ke, et al.
Published: (2026)

ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
by: Sung, Yi-Lin, et al.
Published: (2023)

When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models
by: Li, Yinghui, et al.
Published: (2024)

VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
by: Chen, Hanning, et al.
Published: (2024)

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives
by: Weng, Xingxing, et al.
Published: (2025)

A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models
by: Zeng, Quan-Sheng, et al.
Published: (2025)

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models
by: Pei, Ruiguang, et al.
Published: (2025)