Cover Image

Comprehensive Survey of Model Compression and Speed up for Vision Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Feiyang, Luo, Ziqian, Zhou, Lisang, Pan, Xueting, Jiang, Ying
Format:	Preprint
Published:	2024
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

Speed-up of Vision Transformer Models by Attention-aware Token Filtering
by: Naruko, Takahiro, et al.
Published: (2025)

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

Vision Transformers on the Edge: A Comprehensive Survey of Model Compression and Acceleration Strategies
by: Saha, Shaibal, et al.
Published: (2025)

Navigating the Landscape of Distributed File Systems: Architectures, Implementations, and Considerations
by: Pan, Xueting, et al.
Published: (2024)

Dissecting Query-Key Interaction in Vision Transformers
by: Pan, Xu, et al.
Published: (2024)

Dense Vision Transformer Compression with Few Samples
by: Zhang, Hanxiao, et al.
Published: (2024)

Vision Transformers in Precision Agriculture: A Comprehensive Survey
by: Mehdipour, Saber, et al.
Published: (2025)

Compress image to patches for Vision Transformer
by: Zhao, Xinfeng, et al.
Published: (2025)

Token Compression Meets Compact Vision Transformers: A Survey and Comparative Evaluation for Edge AI
by: Nguyen, Phat, et al.
Published: (2025)

Remote Sensing SpatioTemporal Vision-Language Models: A Comprehensive Survey
by: Liu, Chenyang, et al.
Published: (2024)

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
by: Zheng, Xu, et al.
Published: (2023)

Computer Vision Model Compression Techniques for Embedded Systems: A Survey
by: Lopes, Alexandre, et al.
Published: (2024)

CoCo4D: Comprehensive and Complex 4D Scene Generation
by: Zhou, Junwei, et al.
Published: (2025)

Decorrelation Speeds Up Vision Transformers
by: Carrigg, Kieran, et al.
Published: (2025)

Vision Transformers with Self-Distilled Registers
by: Chen, Yinjie, et al.
Published: (2025)

CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model
by: Luo, Yuxuan, et al.
Published: (2025)

QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
by: Feng, Weilun, et al.
Published: (2025)

The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey
by: Tu, Sifan, et al.
Published: (2025)

KVSmooth: Mitigating Hallucination in Multi-modal Large Language Models through Key-Value Smoothing
by: Jiang, Siyu, et al.
Published: (2026)

Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook
by: Bao, Muyi, et al.
Published: (2025)

Diffusion Models in 3D Vision: A Survey
by: Wang, Zhen, et al.
Published: (2024)

CREM: Compression-Driven Representation Enhancement for Multimodal Retrieval and Comprehension
by: Liu, Lihao, et al.
Published: (2026)

A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends
by: Liu, Daizong, et al.
Published: (2024)

Image Recognition with Online Lightweight Vision Transformer: A Survey
by: Zhang, Zherui, et al.
Published: (2025)

Towards SAR Automatic Target Recognition MultiCategory SAR Image Classification Based on Light Weight Vision Transformer
by: Zhao, Guibin, et al.
Published: (2024)

Machine learning-based system reliability analysis with Gaussian Process Regression
by: Zhou, Lisang, et al.
Published: (2024)

A Survey on Transformer Compression
by: Tang, Yehui, et al.
Published: (2024)

Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
by: Ye, Hancheng, et al.
Published: (2024)

FSVideo: Fast Speed Video Diffusion Model in a Highly-Compressed Latent Space
by: FSVideo Team, et al.
Published: (2026)

Learning Where to Edit Vision Transformers
by: Yang, Yunqiao, et al.
Published: (2024)

Exploring Foundation Models in Remote Sensing Image Change Detection: A Comprehensive Survey
by: Yu, Zihan, et al.
Published: (2024)

A Timely Survey on Vision Transformer for Deepfake Detection
by: Wang, Zhikan, et al.
Published: (2024)

ThermalLoc: A Vision Transformer-Based Approach for Robust Thermal Camera Relocalization in Large-Scale Environments
by: Liu, Yu, et al.
Published: (2025)

CLRKDNet: Speeding up Lane Detection with Knowledge Distillation
by: Qi, Weiqing, et al.
Published: (2024)

A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models
by: Ahmad, Muhammad, et al.
Published: (2024)

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration
by: Zeng, Fanhu, et al.
Published: (2025)

General Compression Framework for Efficient Transformer Object Tracking
by: Hong, Lingyi, et al.
Published: (2024)

Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey
by: Shi, Kun, et al.
Published: (2024)

A Survey on Vision Autoregressive Model
by: Jiang, Kai, et al.
Published: (2024)

Towards Vision-Language Geo-Foundation Model: A Survey
by: Zhou, Yue, et al.
Published: (2024)