Exploring Memory Aggregation Networks For Efficient Interactive Video Object Segmentation
Exploring Memory Aggregation Networks For Efficient Interactive Video Object Segmentation reveals several interesting facts.
- Authors: Lee, Minhyeok*; Cho, Suhwan; LEE, SEUNGHOON; Park, Chaewon; Lee, Sangyoun Description: Unsupervised
- The spotlight video for
- A description and demo of our work for
- Authors: Xuhua Huang, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang Description: Significant progress has been made in
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In-Depth Information on Memory Aggregation Networks For Efficient Interactive Video Object Segmentation
Authors: Jiaxu Miao, Yunchao Wei, Yi Yang Description: TITLE: ICCV17 | 1148 | Learning Paper(arXiv) - https://arxiv.org/abs/2104.10386 Github - https://github.com/yuk6heo/GIS-RAmap.
Paper(arXiv) - https://arxiv.org/abs/2104.10386 Github - https://github.com/yuk6heo/GIS-RAmap.
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