Cover Image

Vision Transformer with Super Token Sampling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Huaibo, Zhou, Xiaoqiang, Cao, Jie, He, Ran, Tan, Tieniu
Format:	Preprint
Published:	2022
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

Lightweight Vision Transformer with Bidirectional Interaction
by: Fan, Qihang, et al.
Published: (2023)

Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer
by: Ai, Yuang, et al.
Published: (2023)

ZePo: Zero-Shot Portrait Stylization with Faster Sampling
by: Liu, Jin, et al.
Published: (2024)

Random Wins All: Rethinking Grouping Strategies for Vision Tokens
by: Fan, Qihang, et al.
Published: (2026)

Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens
by: Fan, Qihang, et al.
Published: (2024)

Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration
by: Ai, Yuang, et al.
Published: (2023)

RMT: Retentive Networks Meet Vision Transformers
by: Fan, Qihang, et al.
Published: (2023)

Advancing Vision Transformer with Enhanced Spatial Priors
by: Fan, Qihang, et al.
Published: (2026)

Vision Transformer with Sparse Scan Prior
by: Zhang, Yuguang, et al.
Published: (2024)

Marmot: Object-Level Self-Correction via Multi-Agent Reasoning
by: Sun, Jiayang, et al.
Published: (2025)

Breaking the Low-Rank Dilemma of Linear Attention
by: Fan, Qihang, et al.
Published: (2024)

LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
by: Ai, Yuang, et al.
Published: (2024)

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

The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models
by: Sheng, Lijun, et al.
Published: (2025)

A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
by: Liang, Jian, et al.
Published: (2023)

Rectifying Magnitude Neglect in Linear Attention
by: Fan, Qihang, et al.
Published: (2025)

NOFT: Test-Time Noise Finetune via Information Bottleneck for Highly Correlated Asset Creation
by: Li, Jia, et al.
Published: (2025)

Towards Compatible Fine-tuning for Vision-Language Model Updates
by: Wang, Zhengbo, et al.
Published: (2024)

Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
by: Wang, Zhengbo, et al.
Published: (2024)

Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification
by: Wang, Zi, et al.
Published: (2022)

Breaking Complexity Barriers: High-Resolution Image Restoration with Rank Enhanced Linear Attention
by: Ai, Yuang, et al.
Published: (2025)

Think 360°: Evaluating the Width-centric Reasoning Capability of MLLMs Beyond Depth
by: Chen, Mingrui, et al.
Published: (2026)

InfoBFR: Real-World Blind Face Restoration via Information Bottleneck
by: Gao, Nan, et al.
Published: (2025)

Learning the Degradation Distribution for Blind Image Super-Resolution
by: Luo, Zhengxiong, et al.
Published: (2022)

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
by: Ai, Yuang, et al.
Published: (2024)

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
by: Liang, Jian, et al.
Published: (2023)

Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning
by: Chen, Mingrui, et al.
Published: (2025)

MVPBench: A Multi-Video Perception Evaluation Benchmark for Multi-Modal Video Understanding
by: Bai, Purui, et al.
Published: (2026)

DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling
by: Ai, Yuang, et al.
Published: (2025)

Context-Aware Token Selection and Packing for Enhanced Vision Transformer
by: Zhang, Tianyi, et al.
Published: (2024)

Exploring Vacant Classes in Label-Skewed Federated Learning
by: Guo, Kuangpu, et al.
Published: (2024)

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

Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
by: Zhang, Leheng, et al.
Published: (2024)

DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration
by: Gao, Nan, et al.
Published: (2024)

Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
by: Liu, Haogeng, et al.
Published: (2024)

Vote&Mix: Plug-and-Play Token Reduction for Efficient Vision Transformer
by: Peng, Shuai, et al.
Published: (2024)

Expand and Prune: Maximizing Trajectory Diversity for Effective GRPO in Generative Models
by: Ge, Shiran, et al.
Published: (2025)

SPoT: Subpixel Placement of Tokens in Vision Transformers
by: Hjelkrem-Tan, Martine, et al.
Published: (2025)

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

Human Image Generation: A Comprehensive Survey
by: Jia, Zhen, et al.
Published: (2022)