Copertina

Parallel Watershed Partitioning: GPU-Based Hierarchical Image Segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yeghiazaryan, Varduhi, Gabrielyan, Yeva, Voiculescu, Irina
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PLESS: Pseudo-Label Enhancement with Spreading Scribbles for Weakly Supervised Segmentation
di: Gabrielyan, Yeva, et al.
Pubblicazione: (2026)

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

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

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

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

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

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

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

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

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

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

RE-POSE: Synergizing Reinforcement Learning-Based Partitioning and Offloading for Edge Object Detection
di: Shi, Jianrui, et al.
Pubblicazione: (2025)

Distributed Deep Learning for Medical Image Denoising with Data Obfuscation
di: Adebayo, Sulaimon Oyeniyi, et al.
Pubblicazione: (2025)

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

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

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
di: Tasneem, Zaid, et al.
Pubblicazione: (2024)

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

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

MIRAGE: Runtime Scheduling for Multi-Vector Image Retrieval with Hierarchical Decomposition
di: Li, Maoliang, et al.
Pubblicazione: (2025)

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

FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
di: Chen, Silin, et al.
Pubblicazione: (2025)

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

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

Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap
di: Amalanshu, Avi, et al.
Pubblicazione: (2024)

GPU-Based Parallel Computing Methods for Medical Photoacoustic Image Reconstruction
di: Yi, Xinyao, et al.
Pubblicazione: (2024)

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

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

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

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

CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication
di: Wazzeh, Mohamad, et al.
Pubblicazione: (2024)

RO-SVD: A Reconfigurable Hardware Copyright Protection Framework for AIGC Applications
di: Ran, Zhuoheng, et al.
Pubblicazione: (2024)

CloudEye: A New Paradigm of Video Analysis System for Mobile Visual Scenarios
di: Cui, Huan, et al.
Pubblicazione: (2024)

Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving
di: Šlapak, Eugen, et al.
Pubblicazione: (2024)

Real-Time Video Generation with Pyramid Attention Broadcast
di: Zhao, Xuanlei, et al.
Pubblicazione: (2024)

COALA: A Practical and Vision-Centric Federated Learning Platform
di: Zhuang, Weiming, et al.
Pubblicazione: (2024)

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

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

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

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

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