Memory Aggregation Networks For Efficient Interactive Video Object Segmentation

May 27, 2026
Media Summary: Authors: Jiaxu Miao, Yunchao Wei, Yi Yang Description: Authors: Xuhua Huang, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang Description: Significant progress has been made in Authors: Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg Description:

Memory Aggregation Networks For Efficient Interactive Video Object Segmentation - Detailed Analysis & Overview

Authors: Jiaxu Miao, Yunchao Wei, Yi Yang Description: Authors: Xuhua Huang, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang Description: Significant progress has been made in Authors: Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg Description: Learn all the ways Microsoft is a part of CVPR 2020: Authors: Lee, Minhyeok*; Cho, Suhwan; LEE, SEUNGHOON; Park, Chaewon; Lee, Sangyoun Description: Unsupervised Learning What to Learn for Video Object Segmentation: ECCV2020 Oral, Long video

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Memory Aggregation Networks for Efficient Interactive Video Object Segmentation
Jiaxu Miao, Memory Aggregation Networks for Efficient Interactive Video Object Segmentation
Learning Video Object Segmentation with Visual Memory
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching
Learning Fast and Robust Target Models for Video Object Segmentation
Efficient Regional Memory Network for Video Object Segmentation
Video Object Segmentation using Space-Time Memory Networks (ICCV 2019)
Memory Enhanced Global Local Aggregation for Video Object Detection
Unsupervised Video Object Segmentation via Prototype Memory Network
Learning What to Learn for Video Object Segmentation: ECCV2020 Oral, Long video
End to End Referring Video Object Segmentation With Multimodal Transformers | CVPR'22
Interactive Video Object Segmentation in HRI setting

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Jiaxu Miao, Memory Aggregation Networks for Efficient Interactive Video Object Segmentation Learning Video Object Segmentation with Visual Memory Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching Learning Fast and Robust Target Models for Video Object Segmentation Efficient Regional Memory Network for Video Object Segmentation Video Object Segmentation using Space-Time Memory Networks (ICCV 2019) Memory Enhanced Global Local Aggregation for Video Object Detection You Won't Believe What's Unfolding In The Latest Judy Byington Situation Update Revealed: The Faces Behind Alamance County's Recent Arrests. Community Safety Alert: What's Happening With Alamance County Recent Arrests. Thousands In The Dark: The True Scope Of The Lacey WA Power Outage. This Just In: Fresh Finds You Can't Miss On Amarillo Facebook Marketplace. The Most Gruesome Discovery From The Gypsy Rose Crime Scean The Public's Obsession: Why We Can't Look Away From Images Of Jeffrey Dahmer Alamance County Recent Arrests: An Inside Look At Justice Served. Ever Wondered What Amarillo Facebook Marketplace's Top Sellers Know?
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Memory Aggregation Networks for Efficient Interactive Video Object Segmentation

Memory Aggregation Networks for Efficient Interactive Video Object Segmentation

Authors: Jiaxu Miao, Yunchao Wei, Yi Yang Description:

Jiaxu Miao, Memory Aggregation Networks for Efficient Interactive Video Object Segmentation

Jiaxu Miao, Memory Aggregation Networks for Efficient Interactive Video Object Segmentation

TITLE:

Learning Video Object Segmentation with Visual Memory

Learning Video Object Segmentation with Visual Memory

ICCV17 | 1148 | Learning

Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching

Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching

Authors: Xuhua Huang, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang Description: Significant progress has been made in

Learning Fast and Robust Target Models for Video Object Segmentation

Learning Fast and Robust Target Models for Video Object Segmentation

Authors: Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg Description:

Sponsored
Efficient Regional Memory Network for Video Object Segmentation

Efficient Regional Memory Network for Video Object Segmentation

The spotlight video for

Video Object Segmentation using Space-Time Memory Networks (ICCV 2019)

Video Object Segmentation using Space-Time Memory Networks (ICCV 2019)

Video comparisons on DAVIS benchmark.

Memory Enhanced Global Local Aggregation for Video Object Detection

Memory Enhanced Global Local Aggregation for Video Object Detection

Learn all the ways Microsoft is a part of CVPR 2020: https://www.microsoft.com/en-us/research/event/cvpr-2020/

Unsupervised Video Object Segmentation via Prototype Memory Network

Unsupervised Video Object Segmentation via Prototype Memory Network

Authors: Lee, Minhyeok*; Cho, Suhwan; LEE, SEUNGHOON; Park, Chaewon; Lee, Sangyoun Description: Unsupervised

Learning What to Learn for Video Object Segmentation: ECCV2020 Oral, Long video

Learning What to Learn for Video Object Segmentation: ECCV2020 Oral, Long video

Learning What to Learn for Video Object Segmentation: ECCV2020 Oral, Long video

End to End Referring Video Object Segmentation With Multimodal Transformers | CVPR'22

End to End Referring Video Object Segmentation With Multimodal Transformers | CVPR'22

If you have any copyright issues on

Interactive Video Object Segmentation in HRI setting

Interactive Video Object Segmentation in HRI setting

A description and demo of our work for

[CVPR2021] Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps - 1

[CVPR2021] Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps - 1

Paper(arXiv) - https://arxiv.org/abs/2104.10386 Github - https://github.com/yuk6heo/GIS-RAmap.