Cover Image

ThinkingViT: Matryoshka Thinking Vision Transformer for Elastic Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hojjat, Ali, Haberer, Janek, Pirk, Soren, Landsiedel, Olaf
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

HydraViT: Stacking Heads for a Scalable ViT
by: Haberer, Janek, et al.
Published: (2024)

ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training
by: Hojjat, Ali, et al.
Published: (2023)

MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices
by: Hojjat, Ali, et al.
Published: (2024)

LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
by: Hojjat, Ali, et al.
Published: (2025)

Slimmable ConvNeXt: Width-Adaptive Inference for Efficient Multi-Device Deployment
by: Haberer, Janek, et al.
Published: (2026)

EA-ViT: Efficient Adaptation for Elastic Vision Transformer
by: Zhu, Chen, et al.
Published: (2025)

Matryoshka Query Transformer for Large Vision-Language Models
by: Hu, Wenbo, et al.
Published: (2024)

TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models
by: Chen, Harold Haodong, et al.
Published: (2025)

Thinking with Programming Vision: Towards a Unified View for Thinking with Images
by: Guo, Zirun, et al.
Published: (2025)

LATTE: Learning to Think with Vision Specialists
by: Ma, Zixian, et al.
Published: (2024)

EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models
by: Cheng, Sijie, et al.
Published: (2023)

Act, Think or Abstain: Complexity-Aware Adaptive Inference for Vision-Language-Action Models
by: Izzo, Riccardo Andrea, et al.
Published: (2026)

ThinkGen: Generalized Thinking for Visual Generation
by: Jiao, Siyu, et al.
Published: (2025)

ViT-5: Vision Transformers for The Mid-2020s
by: Wang, Feng, et al.
Published: (2026)

LocalViT: Analyzing Locality in Vision Transformers
by: Li, Yawei, et al.
Published: (2021)

FTerViT: Fully Ternary Vision Transformer
by: Ruciński, Szymon, et al.
Published: (2026)

ViTAR: Vision Transformer with Any Resolution
by: Fan, Qihang, et al.
Published: (2024)

Retina Vision Transformer (RetinaViT): Introducing Scaled Patches into Vision Transformers
by: Shu, Yuyang, et al.
Published: (2024)

Think or Not Think: A Study of Explicit Thinking in Rule-Based Visual Reinforcement Fine-Tuning
by: Li, Ming, et al.
Published: (2025)

Think3D: Thinking with Space for Spatial Reasoning
by: Zhang, Zaibin, et al.
Published: (2026)

SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data
by: Bartkowiak, Patryk, et al.
Published: (2026)

Matryoshka Representation Learning
by: Kusupati, Aditya, et al.
Published: (2022)

ViTOC: Vision Transformer and Object-aware Captioner
by: Huang, Feiyang
Published: (2024)

ACC-ViT : Atrous Convolution's Comeback in Vision Transformers
by: Ibtehaz, Nabil, et al.
Published: (2024)

ViTCN: Vision Transformer Contrastive Network For Reasoning
by: Song, Bo, et al.
Published: (2024)

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference
by: You, Haoran, et al.
Published: (2022)

Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models
by: Tan, Xudong, et al.
Published: (2025)

Matryoshka Gaussian Splatting
by: Guo, Zhilin, et al.
Published: (2026)

Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously
by: Guan, Yiran, et al.
Published: (2026)

MatFormer: Nested Transformer for Elastic Inference
by: Devvrit, et al.
Published: (2023)

Efficient Inference of Vision Instruction-Following Models with Elastic Cache
by: Liu, Zuyan, et al.
Published: (2024)

UniViTAR: Unified Vision Transformer with Native Resolution
by: Qiao, Limeng, et al.
Published: (2025)

Thinking in Blender: Staged Executable Inverse Graphics with Vision-Language Models
by: He, Guangzhao, et al.
Published: (2026)

ViT-AdaLA: Adapting Vision Transformers with Linear Attention
by: Li, Yifan, et al.
Published: (2026)

ChangeViT: Unleashing Plain Vision Transformers for Change Detection
by: Zhu, Duowang, et al.
Published: (2024)

IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
by: Ma, Xiaochen, et al.
Published: (2023)

ViTGaze: Gaze Following with Interaction Features in Vision Transformers
by: Song, Yuehao, et al.
Published: (2024)

ViTALS: Vision Transformer for Action Localization in Surgical Nephrectomy
by: Chandra, Soumyadeep, et al.
Published: (2024)

AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving
by: Luo, Yuechen, et al.
Published: (2025)

ThinkRL-Edit: Thinking in Reinforcement Learning for Reasoning-Centric Image Editing
by: Li, Hengjia, et al.
Published: (2026)