Champion Solution of Media AI Alibaba Entertainment Video Object Segmentation Challenge

The Youku AI team won the Media AI Alibaba Entertainment Video Object Segmentation Challenge by enhancing the STM model with a spatial‑constrained memory reader, ASPP‑HRNet refinement, ResNeSt‑101 backbone, and a multi‑stage training pipeline, while also devising an unsupervised framework that combines DetectoRS detection, HRNet mask refinement, STM‑based association, and key‑frame optimization to achieve 95.5% test score on a large, richly annotated video dataset.

Computer VisionDeep LearningSemi-supervised Learning

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Champion Solution of Media AI Alibaba Entertainment Video Object Segmentation Challenge

Alibaba Cloud Developer

Sep 18, 2019 · Artificial Intelligence

Mastering Video Object Segmentation: 3 Research Paths & Alibaba’s Latest Advances

This article explains video object segmentation, outlines the three main research directions—semi‑supervised, interactive, and unsupervised—describes Alibaba’s Moku Lab breakthroughs and competition results, and discusses future plans to improve segmentation in complex scenes.

Alibaba ResearchComputer Visioninteractive segmentation

0 likes · 12 min read

Mastering Video Object Segmentation: 3 Research Paths & Alibaba’s Latest Advances

Alibaba Cloud Developer

Aug 8, 2019 · Artificial Intelligence

Alibaba VOS Innovations: Semi-supervised, Interactive & Unsupervised Segmentation

Video Object Segmentation (VOS) is essential for content creation, and Alibaba’s research outlines three main approaches—semi-supervised, interactive, and unsupervised—detailing their algorithms, challenges, evaluation metrics, recent breakthroughs, and future plans to improve accuracy in complex scenes.

AIComputer Visioninteractive

0 likes · 12 min read

Alibaba VOS Innovations: Semi-supervised, Interactive & Unsupervised Segmentation

Youku Technology

Jul 31, 2019 · Artificial Intelligence

Exploring the Three Key Research Directions in Video Object Segmentation

The article outlines video object segmentation (VOS), its importance for content creation, and details the three primary research avenues—semi‑supervised, interactive, and unsupervised—while reviewing benchmark metrics, algorithm categories, challenges, and recent advances from Alibaba’s MoKu Lab, including their competition results and future plans.

AIComputer Visioninteractive

0 likes · 14 min read

Exploring the Three Key Research Directions in Video Object Segmentation