Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection

We propose a deep neural network fusion architecture for fast and robust pedestrian detection. The proposed network fusion architecture allows for parallel processing of multiple networks for speed... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Pedestrian Detection Caltech F-DNN+SS Reasonable Miss Rate 8.18 # 15

Methods used in the Paper


METHOD TYPE
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