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BubbleNets: Video object segmentation for computer vision
Learning What to Learn for Video Object Segmentation: ECCV2020 Oral, Short video
CV3DST - Extra - Video object segmentation by voting (MOTS, VIS, VOS) - (ECCV 2020)
700 - Reducing the Annotation Effort for Video Object Segmentation Datasets
Learning Video Object Segmentation From Unlabeled Videos
Video Object Segmentation using Space-Time Memory Networks (ICCV 2019)
Interactive Video Object Segmentation in HRI setting
Unsupervised Video Object Segmentation via Prototype Memory Network
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing
Learning Video Object Segmentation from Static Images (results on YoutubeObjects)
Learning Video Object Segmentation from Static Images (results on DAVIS)
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Last Updated: September 29, 2026
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Federico Perazzi; Anna Khoreva; Rodrigo Benenson; Bernt Schiele; Alexander Sorkine-Hornung Inspired by recent advances of ... Authors: Jiaxu Miao, Yunchao Wei, Yi Yang Description: Interactive To improve computer vision of emerging technologies, University of Michigan researchers are working on Bubblnets: A new deep ... Ali Athar, Sabarinath Mahadevan, Aljoša Ošep, Laura Leal-Taixé, Bastian Leibe STEm-Seg: Spatio-temporal Embeddings for ... Ein poltern gerne interviews aber workabout Authors: Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi Description: We propose a ... Video comparisons on DAVIS benchmark. A description and demo of our work for Authors: Lee, Minhyeok*; Cho, Suhwan; LEE, SEUNGHOON; Park, Chaewon; Lee, Sangyoun Description: Unsupervised Slides: crcv.ucf.edu/wp-content/uploads/2020/01/kevin_capsules.pdf. Learning Video Object Segmentation
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