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Memory Aggregation Networks for Efficient Interactive Video Object Segmentation
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
CV3DST - Extra - Video object segmentation by voting (MOTS, VIS, VOS) - (ECCV 2020)
Jiaxu Miao, Memory Aggregation Networks for Efficient Interactive Video Object Segmentation
Unsupervised Video Object Segmentation via Prototype Memory Network
Learning Video Object Segmentation with Visual Memory
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
Learning Fast and Robust Target Models for Video Object Segmentation
BubbleNets: Video object segmentation for computer vision
Cutie: Video Object Segmentation with Object-Level Memory Reading
State-Aware Tracker for Real-Time Video Object Segmentation
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Last Updated: October 1, 2026
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Summary
Video comparisons on DAVIS benchmark. The spotlight video for Efficient Regional Authors: Jiaxu Miao, Yunchao Wei, Yi Yang Description: Interactive Project page: hkchengrex.github.io/STCN Paper: arxiv.org/abs/2106.05210 Code: ... Ali Athar, Sabarinath Mahadevan, Aljoša Ošep, Laura Leal-Taixé, Bastian Leibe STEm-Seg: Spatio-temporal Embeddings for ... Authors: Lee, Minhyeok*; Cho, Suhwan; LEE, SEUNGHOON; Park, Chaewon; Lee, Sangyoun Description: Unsupervised Authors: Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg Description: To improve computer vision of emerging technologies, University of Michigan researchers are working on Bubblnets: A new deep ... Authors: Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi Description: In this work, we address the task of ...
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