DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling

ICCV 2017 Lachlan Tychsen-SmithLars Petersson

We define the object detection from imagery problem as estimating a very large but extremely sparse bounding box dependent probability distribution. Subsequently we identify a sparse distribution estimation scheme, Directed Sparse Sampling, and employ it in a single end-to-end CNN based detection model... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Object Detection PASCAL VOC 2007 DeNet-101 (skip) MAP 77.1% # 14