Exploring Memory Aggregation Networks For Efficient Interactive Video Object Segmentation
Exploring Memory Aggregation Networks For Efficient Interactive Video Object Segmentation reveals several interesting facts.
- Project page: https://hkchengrex.github.io/STCN Paper: https://arxiv.org/abs/2106.05210 Code: ...
- The spotlight video for
- Learn all the ways Microsoft is a part of CVPR 2020: https://www.microsoft.com/en-us/research/event/cvpr-2020/
- Authors: Lee, Minhyeok*; Cho, Suhwan; LEE, SEUNGHOON; Park, Chaewon; Lee, Sangyoun Description: Unsupervised
- To improve computer vision of emerging technologies, University of Michigan researchers are working on Bubblnets: A new deep ...
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 Authors: Xuhua Huang, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang Description: Significant progress has been made in
A description and demo of our work for
Stay tuned for more updates related to Memory Aggregation Networks For Efficient Interactive Video Object Segmentation.