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Jiaxu Miao, Memory Aggregation Networks for Efficient Interactive Video Object Segmentation
[CVPR2021] Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps - 1
Learning Fast and Robust Target Models for Video Object Segmentation
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Learning Video Object Segmentation with Visual Memory
[CVPR'19 Oral] Memory-Efficient Segmentation of Ultra-High Resolution Images
MAVOS: Efficient Video Object Segmentation viaModulated Cross-Attention Memory
RMem: Restricted Memory Banks Improve Video Object Segmentation (CVPR 2024)
Memory Enhanced Global Local Aggregation for Video Object Detection
Separable Structure Modeling for Semi-supervised Video Object Segmentation
CV3DST - Extra - Video object segmentation by voting (MOTS, VIS, VOS) - (ECCV 2020)
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Last Updated: September 30, 2026
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Summary
Authors: Jiaxu Miao, Yunchao Wei, Yi Yang Description: Interactive Authors: Lee, Minhyeok*; Cho, Suhwan; LEE, SEUNGHOON; Park, Chaewon; Lee, Sangyoun Description: Unsupervised Paper(arXiv) - arxiv.org/abs/2104.10386 Github - github.com/yuk6heo/GIS-RAmap. Authors: Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg Description: Project page: hkchengrex.github.io/STCN Paper: arxiv.org/abs/2106.05210 Code: ... [CVPR'19 Oral] Collaborative Global-Local A demo of CVPR 2024 paper RMem: Restricted Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020/ Ali Athar, Sabarinath Mahadevan, Aljoša Ošep, Laura Leal-Taixé, Bastian Leibe STEm-Seg: Spatio-temporal Embeddings for ...
Efficient Regional Memory Network For Video Object Segmentation.pdf
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