Imagen de Portada

Iwin Transformer: Hierarchical Vision Transformer using Interleaved Windows

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Huo, Simin, Li, Ning
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers
por: Li, Zeyu Michael
Publicado: (2024)

Data-independent Module-aware Pruning for Hierarchical Vision Transformers
por: He, Yang, et al.
Publicado: (2024)

FasterViT: Fast Vision Transformers with Hierarchical Attention
por: Hatamizadeh, Ali, et al.
Publicado: (2023)

Vision Transformer-based Adversarial Domain Adaptation
por: Li, Yahan, et al.
Publicado: (2024)

HEXST: Hexagonal Shifted-Window Transformer for Spatial Transcriptomics Gene Expression Prediction
por: Byeon, Keunho, et al.
Publicado: (2026)

Native Segmentation Vision Transformers
por: Brasó, Guillem, et al.
Publicado: (2025)

A Manifold Representation of the Key in Vision Transformers
por: Meng, Li, et al.
Publicado: (2024)

Split Adaptation for Pre-trained Vision Transformers
por: Wang, Lixu, et al.
Publicado: (2025)

ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration
por: Huang, Ning-Chi, et al.
Publicado: (2024)

HQViT: Hybrid Quantum Vision Transformer for Image Classification
por: Zhang, Hui, et al.
Publicado: (2025)

Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
por: Liu, Haoyang, et al.
Publicado: (2024)

Decorrelation Speeds Up Vision Transformers
por: Carrigg, Kieran, et al.
Publicado: (2025)

Slicing Vision Transformer for Flexible Inference
por: Zhang, Yitian, et al.
Publicado: (2024)

RAViT: Resolution-Adaptive Vision Transformer
por: Guidez, Martial, et al.
Publicado: (2026)

Rotary Position Embedding for Vision Transformer
por: Heo, Byeongho, et al.
Publicado: (2024)

Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
por: Li, Ang, et al.
Publicado: (2025)

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

Compact Vision Transformer by Reduction of Kernel Complexity
por: Wang, Yancheng, et al.
Publicado: (2025)

DASViT: Differentiable Architecture Search for Vision Transformer
por: Wu, Pengjin, et al.
Publicado: (2025)

Stable Vision Concept Transformers for Medical Diagnosis
por: Hu, Lijie, et al.
Publicado: (2025)

Leveraging Registers in Vision Transformers for Robust Adaptation
por: Yellapragada, Srikar, et al.
Publicado: (2025)

Instance-Aware Group Quantization for Vision Transformers
por: Moon, Jaehyeon, et al.
Publicado: (2024)

Elastic Attention Cores for Scalable Vision Transformers
por: Song, Alan Z., et al.
Publicado: (2026)

Attention Transfer Is Not Universally Effective for Vision Transformers
por: Qin, Huaiyuan, et al.
Publicado: (2026)

Self-Supervised Vision Transformers for Writer Retrieval
por: Raven, Tim, et al.
Publicado: (2024)

HEAL-SWIN: A Vision Transformer On The Sphere
por: Carlsson, Oscar, et al.
Publicado: (2023)

Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training
por: Nghia, et al.
Publicado: (2026)

Making Images from Images: Interleaving Denoising and Transformation
por: Baluja, Shumeet, et al.
Publicado: (2024)

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
por: Xia, Peng, et al.
Publicado: (2024)

WriteViT: Handwritten Text Generation with Vision Transformer
por: Nam, Dang Hoai, et al.
Publicado: (2025)

Powerful Design of Small Vision Transformer on CIFAR10
por: Wu, Gent
Publicado: (2025)

From Colors to Classes: Emergence of Concepts in Vision Transformers
por: Dorszewski, Teresa, et al.
Publicado: (2025)

Block Selective Reprogramming for On-device Training of Vision Transformers
por: Sarkar, Sreetama, et al.
Publicado: (2024)

Visualizing the loss landscape of Self-supervised Vision Transformer
por: Lee, Youngwan, et al.
Publicado: (2024)

MABViT -- Modified Attention Block Enhances Vision Transformers
por: Ramesh, Mahesh, et al.
Publicado: (2023)

HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation
por: Zheng, Hongwei, et al.
Publicado: (2025)

Do VLMs Need Vision Transformers? Evaluating State Space Models as Vision Encoders
por: Kuo, Shang-Jui Ray, et al.
Publicado: (2026)

Contrastive Forward-Forward: A Training Algorithm of Vision Transformer
por: Aghagolzadeh, Hossein, et al.
Publicado: (2025)

AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer
por: Shan, Jiquan, et al.
Publicado: (2025)

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling
por: Lee, Wonjun, et al.
Publicado: (2025)