scholarly journals Real-time and accurate object detection in compressed video by long short-term feature aggregation

2021 ◽  
Vol 206 ◽  
pp. 103188
Author(s):  
Xinggang Wang ◽  
Zhaojin Huang ◽  
Bencheng Liao ◽  
Lichao Huang ◽  
Yongchao Gong ◽  
...  
1992 ◽  
Author(s):  
Frank P. Colby ◽  
Seitter Jr. ◽  
Keith L.

2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.


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