Cover Image

Frequency-Aware Token Reduction for Efficient Vision Transformer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Dong-Jae, Hur, Jiwan, Choi, Jaehyun, Yu, Jaemyung, Kim, Junmo
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

PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion
by: Choi, Jaehyun, et al.
Published: (2025)

Self-supervised Transformation Learning for Equivariant Representations
by: Yu, Jaemyung, et al.
Published: (2025)

AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation
by: Choi, Jaehyun, et al.
Published: (2024)

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

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
by: Lee, Dongyeun, et al.
Published: (2025)

Learning Neural Deformation Representation for 4D Dynamic Shape Generation
by: Han, Gyojin, et al.
Published: (2026)

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
by: Choi, Jaehyun, et al.
Published: (2025)

Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
by: Hur, Jiwan, et al.
Published: (2024)

Inlier-Centric Post-Training Quantization for Object Detection Models
by: Kim, Minsu, et al.
Published: (2026)

IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation
by: Baek, Sunghyun, et al.
Published: (2026)

SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation
by: Shin, Youngwoo, et al.
Published: (2026)

Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers
by: Lee, Dong Hoon, et al.
Published: (2024)

Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!
by: Chung, Jiwan, et al.
Published: (2024)

Global Geometry Is Not Enough for Vision Representations
by: Chung, Jiwan, et al.
Published: (2026)

Inspecting Explainability of Transformer Models with Additional Statistical Information
by: Nguyen, Hoang C., et al.
Published: (2023)

Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
by: Oh, Youngtaek, et al.
Published: (2024)

Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
by: Lee, Haeil, et al.
Published: (2024)

Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
by: Lee, Jae Young, et al.
Published: (2024)

Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency
by: Ka, Woonghyun, et al.
Published: (2024)

Pygmalion Effect in Vision: Image-to-Clay Translation for Reflective Geometry Reconstruction
by: Lee, Gayoung, et al.
Published: (2025)

Learning Question-Aware Keyframe Selection with Synthetic Supervision for Video Question Answering
by: Kwon, Minchan, et al.
Published: (2026)

The Effects of Mixed Sample Data Augmentation are Class Dependent
by: Lee, Haeil, et al.
Published: (2023)

Faster Parameter-Efficient Tuning with Token Redundancy Reduction
by: Kim, Kwonyoung, et al.
Published: (2025)

Spectral Vision Transformer for Efficient Tokenization with Limited Data
by: Roberts, Alexandra G., et al.
Published: (2026)

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
by: Shang, Yuzhang, et al.
Published: (2024)

AT-SNN: Adaptive Tokens for Vision Transformer on Spiking Neural Network
by: Kang, Donghwa, et al.
Published: (2024)

Token Pruning using a Lightweight Background Aware Vision Transformer
by: Sah, Sudhakar, et al.
Published: (2024)

MATE: Meet At The Embedding -- Connecting Images with Long Texts
by: Jang, Young Kyun, et al.
Published: (2024)

PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models
by: Liu, Yingen, et al.
Published: (2024)

Cross-Axis Feature Fusion with Joint-Wise Motion Difference Prediction for Text-Based 3D Human Motion Editing
by: Han, Gyojin, et al.
Published: (2026)

On the Limits of Token Reduction for Efficient Unified Vision Language Training
by: Chen, Siyi, et al.
Published: (2026)

Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification
by: Lee, Hansang, et al.
Published: (2022)

Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP
by: Ro, Yusung, et al.
Published: (2026)

See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
by: Park, Jaehyun, et al.
Published: (2026)

Rethinking Token Reduction for Large Vision-Language Models
by: Wang, Yi, et al.
Published: (2026)

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation
by: Xu, Xuwei, et al.
Published: (2023)

Patch Rebirth: Toward Fast and Transferable Model Inversion of Vision Transformers
by: Heo, Seongsoo, et al.
Published: (2025)

CLIP Tricks You: Training-free Token Pruning for Efficient Pixel Grounding in Large VIsion-Language Models
by: Lee, Sangin, et al.
Published: (2026)

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

Towards Visual Text Design Transfer Across Languages
by: Choi, Yejin, et al.
Published: (2024)