Image de couverture de livre

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xue, Yuan, Zhang, Qi, Jia, Chuanmin, Wang, Shiqi
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Machine Perception-Driven Image Compression: A Layered Generative Approach
par: Zhang, Yuefeng, et autres
Publié: (2023)

Medical Large Vision Language Models with Multi-Image Visual Ability
par: Yang, Xikai, et autres
Publié: (2025)

Attention Prompting on Image for Large Vision-Language Models
par: Yu, Runpeng, et autres
Publié: (2024)

Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?
par: Kim, Eunki, et autres
Publié: (2025)

Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models
par: Zhong, Yi, et autres
Publié: (2026)

TernaryCLIP: Efficiently Compressing Vision-Language Models with Ternary Weights and Distilled Knowledge
par: Zhang, Shu-Hao, et autres
Publié: (2025)

HybridToken-VLM: Hybrid Token Compression for Vision-Language Models
par: Zhang, Jusheng, et autres
Publié: (2025)

Learning to Detect Unknown Jailbreak Attacks in Large Vision-Language Models
par: Liang, Shuang, et autres
Publié: (2025)

On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
par: Zhang, Xinwei, et autres
Publié: (2026)

How Blind and Low-Vision Individuals Prefer Large Vision-Language Model-Generated Scene Descriptions
par: An, Na Min, et autres
Publié: (2025)

A-VL: Adaptive Attention for Large Vision-Language Models
par: Zhang, Junyang, et autres
Publié: (2024)

Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning
par: Zhan, Yufei, et autres
Publié: (2025)

FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding
par: Pan, Huitong, et autres
Publié: (2024)

High Efficiency Image Compression for Large Visual-Language Models
par: Li, Binzhe, et autres
Publié: (2024)

Enhancing Medical Large Vision-Language Models via Alignment Distillation
par: Chang, Aofei, et autres
Publié: (2025)

Rethinking Token Reduction for Large Vision-Language Models
par: Wang, Yi, et autres
Publié: (2026)

Are Large Vision Language Models Good Game Players?
par: Wang, Xinyu, et autres
Publié: (2025)

ImgTrojan: Jailbreaking Vision-Language Models with ONE Image
par: Tao, Xijia, et autres
Publié: (2024)

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training
par: Zhang, Xinsong, et autres
Publié: (2025)

Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
par: Yuan, Liping, et autres
Publié: (2025)

When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning
par: Luo, Junwei, et autres
Publié: (2025)

CARPE: Context-Aware Image Representation Prioritization via Ensemble for Large Vision-Language Models
par: Lee, Donghee, et autres
Publié: (2026)

Compound Expression Recognition via Large Vision-Language Models
par: Yu, Jun, et autres
Publié: (2025)

Measuring the Measurers: Quality Evaluation of Hallucination Benchmarks for Large Vision-Language Models
par: Yan, Bei, et autres
Publié: (2024)

GeoShield: Safeguarding Geolocation Privacy from Vision-Language Models via Adversarial Perturbations
par: Liu, Xinwei, et autres
Publié: (2025)

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression
par: Kundu, Souvik, et autres
Publié: (2025)

VTCBench: Can Vision-Language Models Understand Long Context with Vision-Text Compression?
par: Zhao, Hongbo, et autres
Publié: (2025)

Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction
par: Zhang, Yuanhong, et autres
Publié: (2026)

MBQ: Modality-Balanced Quantization for Large Vision-Language Models
par: Li, Shiyao, et autres
Publié: (2024)

AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference
par: Huang, Kai, et autres
Publié: (2025)

EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models
par: Yuan, Botai, et autres
Publié: (2025)

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model
par: Wang, Sibo, et autres
Publié: (2024)

What's in the Image? A Deep-Dive into the Vision of Vision Language Models
par: Kaduri, Omri, et autres
Publié: (2024)

AddressVLM: Cross-view Alignment Tuning for Image Address Localization using Large Vision-Language Models
par: Xu, Shixiong, et autres
Publié: (2025)

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models
par: Zhou, Zijie, et autres
Publié: (2026)

Large Vision-Language Models Get Lost in Attention
par: Xi, Gongli, et autres
Publié: (2026)

AVA: Towards Agentic Video Analytics with Vision Language Models
par: Yan, Yuxuan, et autres
Publié: (2025)

Fourier Compressor: Frequency-Domain Visual Token Compression for Vision-Language Models
par: Wang, Huanyu, et autres
Publié: (2025)

MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models
par: Liu, Ziyu, et autres
Publié: (2024)

Vision without Images: End-to-End Computer Vision from Single Compressive Measurements
par: Pan, Fengpu, et autres
Publié: (2025)