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Leveraging Transformers for StarCraft Macromanagement Prediction
Inspired by the recent success of transformers in natural language processing and computer vision applications, we introduce a transformer-based neural architecture for two key StarCraft II (SC2) macromanagement tasks: global state and build order prediction.
Two-Stream Boosted TCRNet for Range-Tolerant Infra-Red Target Detection
The detection of vehicular targets in infra-red imagery is a challenging task, both due to the relatively few pixels on target and the false alarms produced by the surrounding terrain clutter.
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