Imagen de Portada

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Erak, Omar, Alhussein, Omar, Abou-Zeid, Hatem, Bennis, Mehdi, Muhaidat, Sami
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Image and Video Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Adaptive Pareto-Optimal Token Merging for Edge Transformer Models in Semantic Communication
por: Erak, Omar, et al.
Publicado: (2025)

Contrastive Learning and Adversarial Disentanglement for Privacy-Aware Task-Oriented Semantic Communication
por: Erak, Omar, et al.
Publicado: (2024)

Topology-Preserving Deep Joint Source-Channel Coding for Semantic Communication
por: Erak, Omar, et al.
Publicado: (2026)

AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray Images
por: Khater, Omar Hesham, et al.
Publicado: (2024)

VideoQA-SC: Adaptive Semantic Communication for Video Question Answering
por: Guo, Jiangyuan, et al.
Publicado: (2024)

Vision Transformer for Intracranial Hemorrhage Classification in CT Scans Using an Entropy-Aware Fuzzy Integral Strategy for Adaptive Scan-Level Decision Fusion
por: Chagahi, Mehdi Hosseini, et al.
Publicado: (2025)

Unified Domain Adaptive Semantic Segmentation
por: Zhang, Zhe, et al.
Publicado: (2023)

PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
por: Zamzam, Omar
Publicado: (2024)

Segmentation of Muscularis Propria in Colon Histopathology Images Using Vision Transformers for Hirschsprung's Disease
por: Megahed, Youssef, et al.
Publicado: (2024)

Semantic Communications with Computer Vision Sensing for Edge Video Transmission
por: Peng, Yubo, et al.
Publicado: (2025)

Towards Efficient Image Deblurring for Edge Deployment
por: Miriyala, Srinivas, et al.
Publicado: (2026)

Hierarchy-Aware and Channel-Adaptive Semantic Communication for Bandwidth-Limited Data Fusion
por: Guo, Lei, et al.
Publicado: (2025)

An Enhanced Harmonic Densely Connected Hybrid Transformer Network Architecture for Chronic Wound Segmentation Utilising Multi-Colour Space Tensor Merging
por: Cassidy, Bill, et al.
Publicado: (2024)

AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation
por: Lin, Jiacheng, et al.
Publicado: (2023)

SPAT: A Semantic Port-Aware Adaptive-Rate Transmission Protocol for Semantic Communication
por: Wang, Yunhao, et al.
Publicado: (2026)

HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification
por: EL-Assiouti, Omar S., et al.
Publicado: (2024)

A Real-Time DDS-Based Chest X-Ray Decision Support System for Resource-Constrained Clinics
por: Khater, Omar H., et al.
Publicado: (2024)

ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection
por: Wang, Jiayi, et al.
Publicado: (2024)

A Specific Task-oriented Semantic Image Communication System for substation patrol inspection
por: Fan, Senran, et al.
Publicado: (2023)

Vision Transformer Based Semantic Communications for Next Generation Wireless Networks
por: Mohsin, Muhammad Ahmed, et al.
Publicado: (2025)

Deep Learning for Surgical Instrument Recognition and Segmentation in Robotic-Assisted Surgeries: A Systematic Review
por: Ahmed, Fatimaelzahraa Ali, et al.
Publicado: (2024)

Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers
por: Zoravar, Mehran, et al.
Publicado: (2025)

EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices
por: Li, Xin, et al.
Publicado: (2024)

THAT: Token-wise High-frequency Augmentation Transformer for Hyperspectral Pansharpening
por: Jin, Hongkun, et al.
Publicado: (2025)

HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging
por: Abian, Arefin Ittesafun, et al.
Publicado: (2025)

An Efficient Token Compression Framework for Visual Object Tracking
por: Wu, Weijing, et al.
Publicado: (2026)

PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers
por: Sadeghi, Mohammad Erfan, et al.
Publicado: (2024)

Normal and Atypical Mitosis Image Classifier using Efficient Vision Transformer
por: Qi, Xuan, et al.
Publicado: (2025)

TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation
por: Liu, Ruiping, et al.
Publicado: (2022)

Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes
por: Elezabi, Omar, et al.
Publicado: (2024)

SPOT: Sparsification with Attention Dynamics via Token Relevance in Vision Transformers
por: Schlesinger, Oded, et al.
Publicado: (2025)

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

Optimally Bridging Semantics and Data: Generative Semantic Communication via Schrödinger Bridge
por: Gao, Dahua, et al.
Publicado: (2026)

Adaptive Transform Coding for Semantic Compression
por: Enttsel, Andriy, et al.
Publicado: (2026)

Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation
por: Schmidt, Tanner, et al.
Publicado: (2025)

Resource-Efficient Multiview Perception: Integrating Semantic Masking with Masked Autoencoders
por: Dakic, Kosta, et al.
Publicado: (2024)

Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual Tokens
por: Chen, Bolin, et al.
Publicado: (2024)

Enhancing the automatic segmentation and analysis of 3D liver vasculature models
por: Machta, Yassine, et al.
Publicado: (2024)

Progressive Growing of Video Tokenizers for Temporally Compact Latent Spaces
por: Mahapatra, Aniruddha, et al.
Publicado: (2025)

Skin Cancer Machine Learning Model Tone Bias
por: Pope, James, et al.
Publicado: (2024)