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[CVPR2021] Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps - 2
Video Object Segmentation using Space-Time Memory Networks (ICCV 2019) 2
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Hierarchical Memory Matching Network for Video Object Segmentation (ICCV 2021)
Learning What to Learn for Video Object Segmentation: ECCV2020 Oral, Short video
Efficient Regional Memory Network for Video Object Segmentation
Unsupervised Video Object Segmentation via Prototype Memory Network
Learning Video Object Segmentation with Visual Memory
Video Object Segmentation using Space-Time Memory Networks (ICCV 2019)
Memory Enhanced Global Local Aggregation for Video Object Detection
ECCV 2020 - presentation - Fast Video Object Segmentation using the Global Context Module
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Last Updated: October 3, 2026
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Summary
Authors: Jiaxu Miao, Yunchao Wei, Yi Yang Description: Paper(arXiv) - arxiv.org/abs/2104.10386 Github - github.com/yuk6heo/GIS-RAmap. A description and demo of our work for Project page: hkchengrex.github.io/STCN Paper: arxiv.org/abs/2106.05210 Code: ... Authors: Lee, Minhyeok*; Cho, Suhwan; LEE, SEUNGHOON; Park, Chaewon; Lee, Sangyoun Description: Unsupervised Video comparisons on DAVIS benchmark. Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020/
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