Cover Image

DART: Differentiable Dynamic Adaptive Region Tokenizer for Vision Foundation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yin, Shicheng, Yin, Kaixuan, Liu, Yang, Chen, Weixing, Lin, Liang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VisionGRU: A Linear-Complexity RNN Model for Efficient Image Analysis
by: Yin, Shicheng, et al.
Published: (2024)

DDP-WM: Disentangled Dynamics Prediction for Efficient World Models
by: Yin, Shicheng, et al.
Published: (2026)

DORA: Dynamic Online Reinforcement Agent for Token Merging in Vision Transformers
by: He, Kaixuan, et al.
Published: (2026)

DART: Dual Adaptive Refinement Transfer for Open-Vocabulary Multi-Label Recognition
by: Liu, Haijing, et al.
Published: (2025)

MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments
by: Liu, Yang, et al.
Published: (2024)

DART: A Vision-Language Foundation Model for Comprehensive Rope Condition Monitoring
by: Rani, Anju, et al.
Published: (2026)

Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method
by: Song, Xinshuai, et al.
Published: (2024)

Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering
by: Jiang, Kaixuan, et al.
Published: (2025)

Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models
by: Wu, Rining, et al.
Published: (2024)

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

AdaptInfer: Adaptive Token Pruning for Vision-Language Model Inference with Dynamical Text Guidance
by: Zhang, Weichen, et al.
Published: (2025)

Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving
by: Cheng, JunDa, et al.
Published: (2024)

Vision Foundation Models as Generalist Tokenizers for Image Generation
by: Zheng, Anlin, et al.
Published: (2026)

PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image Matching
by: Nie, Han, et al.
Published: (2025)

AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution
by: Fan, Yuanting, et al.
Published: (2024)

Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection
by: Lei, Ting, et al.
Published: (2024)

Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model
by: Liu, Ting, et al.
Published: (2024)

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing
by: Wang, Weixing, et al.
Published: (2025)

RegionGPT: Towards Region Understanding Vision Language Model
by: Guo, Qiushan, et al.
Published: (2024)

Dynamic Token Reweighting for Robust Vision-Language Models
by: Jiang, Tanqiu, et al.
Published: (2025)

Multi-Token Enhancing for Vision Representation Learning
by: Li, Zhong-Yu, et al.
Published: (2024)

3D Aware Region Prompted Vision Language Model
by: Cheng, An-Chieh, et al.
Published: (2025)

Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic Segmentation
by: Zhang, Yin, et al.
Published: (2025)

WeMMU: Enhanced Bridging of Vision-Language Models and Diffusion Models via Noisy Query Tokens
by: Yang, Jian, et al.
Published: (2025)

Dynamic Token Reduction during Generation for Vision Language Models
by: Liang, Xiaoyu, et al.
Published: (2025)

Not All Tokens Matter Equally: Dynamic In-context Vector Distillation with Decisive-Token Supervision for Long-form Medical Report Generation
by: Wu, Ning, et al.
Published: (2026)

Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
by: Peng, Wenshuo, et al.
Published: (2024)

In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model
by: Yin, Junhui, et al.
Published: (2024)

Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models
by: He, Landi, et al.
Published: (2026)

Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models
by: Yin, Jianghao, et al.
Published: (2026)

Variation-aware Vision Token Dropping for Faster Large Vision-Language Models
by: Chen, Junjie, et al.
Published: (2025)

3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians
by: Wei, Zeming, et al.
Published: (2025)

Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information
by: Chen, Yi, et al.
Published: (2024)

Cross-Modal Causal Intervention for Medical Report Generation
by: Chen, Weixing, et al.
Published: (2023)

Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping
by: Zeng, Weili, et al.
Published: (2025)

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
by: Jin, Yang, et al.
Published: (2023)

TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal Models
by: Zhang, Hao, et al.
Published: (2025)

Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation
by: Hu, Mu, et al.
Published: (2024)

CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis
by: Zhang, Di, et al.
Published: (2026)

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