:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gu, Peiran, Yao, Teng, He, Mengshen, Duan, Fuhao, Liu, Feiyan, Peng, RenYuan, Ge, Bao
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2507.21922
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing DR Classification with Swin Transformer and Shifted Window Attention
by: Boulaabi, Meher, et al.
Published: (2025)

Flash Window Attention: speedup the attention computation for Swin Transformer
by: Zhang, Zhendong
Published: (2025)

Bridging Technology and Humanities: Evaluating the Impact of Large Language Models on Social Sciences Research with DeepSeek-R1
by: Gu, Peiran, et al.
Published: (2025)

CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision
by: Khadka, Puskal, et al.
Published: (2025)

Gated-SwinRMT: Unifying Swin Windowed Attention with Retentive Manhattan Decay via Input-Dependent Gating
by: Maity, Dipan, et al.
Published: (2026)

Speech Swin-Transformer: Exploring a Hierarchical Transformer with Shifted Windows for Speech Emotion Recognition
by: Wang, Yong, et al.
Published: (2024)

SwinShadow: Shifted Window for Ambiguous Adjacent Shadow Detection
by: Wang, Yonghui, et al.
Published: (2024)

Physics‐Aware Attention Swin Transformer for Ultrasound Image Segmentation
by: Rong Sun, et al.
Published: (2026)

Hybrid Swin Attention Networks for Simultaneously Low-Dose PET and CT Denoising
by: Liu, Yichao, et al.
Published: (2025)

Demosaicking Algorithm Using Swin Transformer and Long‐Range Attention Network
by: Jin Wang, et al.
Published: (2025)

AgileIR: Memory-Efficient Group Shifted Windows Attention for Agile Image Restoration
by: Cai, Hongyi, et al.
Published: (2024)

SWAT: Scalable and Efficient Window Attention-based Transformers Acceleration on FPGAs
by: Bai, Zhenyu, et al.
Published: (2024)

Regional Attention-Enhanced Swin Transformer for Clinically Relevant Medical Image Captioning
by: Naz, Zubia, et al.
Published: (2025)

SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding
by: Yang, Ke, et al.
Published: (2023)

TKwinFormer: Top k Window Attention in Vision Transformers for Feature Matching
by: Liao, Yun, et al.
Published: (2023)

Efficient Contextformer: Spatio-Channel Window Attention for Fast Context Modeling in Learned Image Compression
by: Koyuncu, A. Burakhan, et al.
Published: (2023)

Window-based Channel Attention for Wavelet-enhanced Learned Image Compression
by: Xu, Heng, et al.
Published: (2024)

SparseSwin: Swin Transformer with Sparse Transformer Block
by: Pinasthika, Krisna, et al.
Published: (2023)

Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
by: Tran, Dinh Phu, et al.
Published: (2024)

Transfer-learning for video classification: Video Swin Transformer on multiple domains
by: Oliveira, Daniel A. P., et al.
Published: (2022)

Sliding Window Attention Training for Efficient Large Language Models
by: Fu, Zichuan, et al.
Published: (2025)

Efficient Vocal Source Separation Through Windowed Sink Attention
by: Benetatos, Christodoulos, et al.
Published: (2025)

Lightweight Channel Attention for Efficient CNNs
by: Kanaparthi, Prem Babu, et al.
Published: (2026)

MSWA: Refining Local Attention with Multi-ScaleWindow Attention
by: Xu, Yixing, et al.
Published: (2025)

SwinLip: An Efficient Visual Speech Encoder for Lip Reading Using Swin Transformer
by: Park, Young-Hu, et al.
Published: (2025)

Lightweight Vision Transformer with Window and Spatial Attention for Food Image Classification
by: Gao, Xinle, et al.
Published: (2025)

Hierarchical Shift Mixing -- Beyond Dense Attention in Transformers
by: Forchheimer, Robert
Published: (2026)

Efficient Attention via Pre-Scoring: Prioritizing Informative Keys in Transformers
by: Li, Zhexiang, et al.
Published: (2025)

Shift-Window Meets Dual Attention: A Multi-Model Architecture for Specular Highlight Removal
by: Huo, Tianci, et al.
Published: (2025)

FGR-Net:Interpretable fundus imagegradeability classification based on deepreconstruction learning
by: Khalid, Saif, et al.
Published: (2024)

S2-Attention: Hardware-Aware Context Sharding Among Attention Heads
by: Lin, Xihui, et al.
Published: (2024)

S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context
by: Wang, Yongqiang, et al.
Published: (2024)

DarSwin: Distortion Aware Radial Swin Transformer
by: Athwale, Akshaya, et al.
Published: (2023)

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication
by: Teng, Lei, et al.
Published: (2025)

Accurate and Efficient Multi-Channel Time Series Forecasting via Sparse Attention Mechanism
by: Gao, Lei, et al.
Published: (2026)

Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites
by: Jian Zhang, et al.
Published: (2025)

Attention‐Enhanced Hybrid CNN–Transformer Approach Using ResNeXt‐50 and Swin Transformer for Apple Leaf Disease Classification
by: Vishal Thakur, et al.
Published: (2026)

R3D-SWIN:Use Shifted Window Attention for Single-View 3D Reconstruction
by: Li, Chenhuan, et al.
Published: (2023)

Residual-SwinCA-Net: A Channel-Aware Integrated Residual CNN-Swin Transformer for Malignant Lesion Segmentation in BUSI
by: Naz, Saeeda, et al.
Published: (2025)

Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based Regressors
by: Yan, Jingquan, et al.
Published: (2026)