Imagen de Portada

A Parallel Workflow for Polar Sea-Ice Classification using Auto-labeling of Sentinel-2 Imagery

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Iqrah, Jurdana Masuma, Wang, Wei, Xie, Hongjie, Prasad, Sushil
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Distributed, Parallel, and Cluster Computing Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge
por: Mahmud, Hasanul, et al.
Publicado: (2024)

LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation
por: Chen, Yukang, et al.
Publicado: (2026)

Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference
por: Zhang, XiuYu, et al.
Publicado: (2024)

Parallel Watershed Partitioning: GPU-Based Hierarchical Image Segmentation
por: Yeghiazaryan, Varduhi, et al.
Publicado: (2024)

STADI: Fine-Grained Step-Patch Diffusion Parallelism for Heterogeneous GPUs
por: Liang, Han, et al.
Publicado: (2025)

SwiftFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUs
por: Yang, Jiacheng, et al.
Publicado: (2026)

Parallel Reduced Order Modeling for Digital Twins using High-Performance Computing Workflows
por: de Parga, S. Ares, et al.
Publicado: (2024)

Federated Learning for Medical Image Classification: A Comprehensive Benchmark
por: Zhou, Zhekai, et al.
Publicado: (2025)

Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity
por: Amgain, Sanskar, et al.
Publicado: (2024)

Skewness-Guided Pruning of Multimodal Swin Transformers for Federated Skin Lesion Classification on Edge Devices
por: Paxton, Kuniko, et al.
Publicado: (2025)

A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation
por: Ma, Yufei, et al.
Publicado: (2025)

Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly
por: Kulkarni, Varad, et al.
Publicado: (2025)

PyRadiomics-cuda: 3D features extraction from medical images for HPC using GPU acceleration
por: Lisowski, Jakub, et al.
Publicado: (2025)

Parallax: Runtime Parallelization for Operator Fallbacks in Heterogeneous Edge Systems
por: Tang, Chong, et al.
Publicado: (2025)

Transforming the Use of Earth Observation Data: Exascale Training of a Generative Compression Model with Historical Priors for up to 10,000x Data Reduction
por: Zhang, Jinxiao, et al.
Publicado: (2026)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
por: da Silva, Rafael Ferreira, et al.
Publicado: (2024)

Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows
por: Kilic, Ozgur Ozan, et al.
Publicado: (2024)

WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows
por: Lehmann, Fabian, et al.
Publicado: (2025)

Parallel AIG Refactoring via Conflict Breaking
por: Cai, Ye, et al.
Publicado: (2024)

Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference
por: Nabhaan, Ahmad N. L., et al.
Publicado: (2026)

Federated Unsupervised Visual Representation Learning via Exploiting General Content and Personal Style
por: Yang, Yuewei, et al.
Publicado: (2022)

A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration
por: Jena, Rohit, et al.
Publicado: (2025)

SlimEdge: Performance and Device Aware Distributed DNN Deployment on Resource-Constrained Edge Hardware
por: Kumar, Mahadev Sunil, et al.
Publicado: (2025)

Benchmarking Federated Learning Frameworks for Medical Imaging Deployment: A Comparative Study of NVIDIA FLARE, Flower, and Owkin Substra
por: Gupta, Riya, et al.
Publicado: (2025)

Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System
por: Agarwal, Shubham, et al.
Publicado: (2025)

Multi-modal video data-pipelines for machine learning with minimal human supervision
por: Pîrvu, Mihai-Cristian, et al.
Publicado: (2025)

DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models
por: Zhang, Hanwen, et al.
Publicado: (2026)

SC-MII: Infrastructure LiDAR-based 3D Object Detection on Edge Devices for Split Computing with Multiple Intermediate Outputs Integration
por: Noguchi, Taisuke, et al.
Publicado: (2026)

Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework
por: Peng, Haosong, et al.
Publicado: (2024)

ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning
por: Parikh, Dhruv, et al.
Publicado: (2025)

Cross-architecture universal feature coding via distribution alignment
por: Gao, Changsheng, et al.
Publicado: (2025)

Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity?
por: Fiszer, Jan, et al.
Publicado: (2025)

Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
por: Hwang, Jinwoo, et al.
Publicado: (2025)

Reliable Multi-view 3D Reconstruction for `Just-in-time' Edge Environments
por: Absur, Md. Nurul, et al.
Publicado: (2025)

Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
por: Bujotzek, Markus R., et al.
Publicado: (2024)

Research on Improved U-net Based Remote Sensing Image Segmentation Algorithm
por: Yang, Qiming, et al.
Publicado: (2024)

Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras
por: Min, Chulhong, et al.
Publicado: (2024)

DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training
por: Tan, Xin, et al.
Publicado: (2025)

Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
por: Reinbigler, Marie, et al.
Publicado: (2025)

FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology
por: Peng, Yuanzhe, et al.
Publicado: (2024)