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Video scene parsing with predictive feature learning
Video scene parsing is challenging due to the following two reasons: firstly, it is non-trivial to
learn meaningful video representations for producing the temporally consistent labeling …
learn meaningful video representations for producing the temporally consistent labeling …
Segmenting the future
Predicting the future is an important aspect for decision-making in robotics or autonomous
driving systems, which heavily rely upon visual scene understanding. While prior work …
driving systems, which heavily rely upon visual scene understanding. While prior work …
Budget-aware deep semantic video segmentation
B Mahasseni, S Todorovic… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
In this work, we study a poorly understood trade-off between accuracy and runtime costs for
deep semantic video segmentation. While recent work has demonstrated advantages of …
deep semantic video segmentation. While recent work has demonstrated advantages of …
A proposal of DNS-based adaptive load balancing method for mirror server systems and its implementation
H Yokota, S Kimura, Y Ebihara - 18th International Conference …, 2004 - ieeexplore.ieee.org
In order to protect a server to become overloading due to concentration of accesses, a mirror
server system is widely used for distributing the load to multiservers. For such a system, it is …
server system is widely used for distributing the load to multiservers. For such a system, it is …
Comihoc: A middleware framework for context management in manet environment
W Wibisono, A Zaslavsky, S Ling - 2010 24th IEEE …, 2010 - ieeexplore.ieee.org
Advances in wireless and sensing technology and the proliferation of context-aware systems
have highlighted the requirement to reduce the complexity of system development by …
have highlighted the requirement to reduce the complexity of system development by …