Nov. 23, 2022, 2:15 a.m. | Suhwan Cho, Minhyeok Lee, Seunghoon Lee, Sangyoun Lee

cs.CV updates on arXiv.org arxiv.org

Unsupervised video object segmentation aims at detecting and segmenting the
most salient object in videos. In recent times, two-stream approaches that
collaboratively leverage appearance cues and motion cues have attracted
extensive attention thanks to their powerful performance. However, there are
two limitations faced by those methods: 1) the domain gap between appearance
and motion information is not well considered; and 2) long-term temporal
coherence within a video sequence is not exploited. To overcome these
limitations, we propose a domain alignment …

aggregation alignment arxiv segmentation temporal unsupervised video

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Associate Data Engineer

@ Redkite | London, England, United Kingdom

Data Management Associate Consultant

@ SAP | Porto Salvo, PT, 2740-262

NLP & Data Modelling Consultant - SAP LABS

@ SAP | Bengaluru, IN, 560066

Catalog Data Quality Specialist

@ Delivery Hero | Montevideo, Uruguay

Data Analyst for CEO Office with Pathway to Functional Analyst

@ Amar Bank | Jakarta