arXiv:1506.04130
CloudCV: Large Scale Distributed Computer Vision as a Cloud Service
원문 초록
We are witnessing a proliferation of massive visual data. Unfortunately scaling existing computer vision algorithms to large datasets leaves researchers repeatedly solving the same algorithmic, logistical, and infrastructural problems. Our goal is to democratize computer vision; one should not have to be a computer vision, big data and distributed computing expert to have access to state-of-the-art distributed computer vision algorithms. We present CloudCV, a comprehensive system to provide access to state-of-the-art distributed computer vision algorithms as a cloud service through a Web Interface and APIs.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Correlations Are Ruining Your Gradient Descent
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
Tree-Guided $L_1$-Convex Clustering
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions
Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems
Distributed Mixture-of-Agents for Edge Inference with Large Language Models
토론
이 논문과 연결된 포럼 글이 아직 없습니다.