BlitzNet: A Real-Time Deep Network for Scene Understanding

ICCV 2017 Nikita DvornikKonstantin ShmelkovJulien MairalCordelia Schmid

Real-time scene understanding has become crucial in many applications such as autonomous driving. In this paper, we propose a deep architecture, called BlitzNet, that jointly performs object detection and semantic segmentation in one forward pass, allowing real-time computations... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Object Detection PASCAL VOC 2007 BlitzNet512 + seg (s8) MAP 81.5% # 7
Real-Time Object Detection PASCAL VOC 2007 BlitzNet512 (s8) MAP 81.5% # 1
FPS 19.5 # 3
Real-Time Object Detection PASCAL VOC 2007 BlitzNet512 (s4) MAP 79.1% # 3
FPS 24 # 2