Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors

10 Apr 2018 • Hao Yu • Zhaoning Zhang • Zheng Qin • Hao Wu • Dongsheng Li • Jun Zhao • Xicheng Lu

Modern object detectors usually suffer from low accuracy issues, as foregrounds always drown in tons of backgrounds and become hard examples during training. Compared with those proposal-based ones, real-time detectors are in far more serious trouble since they renounce the use of region-proposing stage which is used to filter a majority of backgrounds for achieving real-time rates... (read more)

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METHOD	TYPE
Average Pooling	Pooling Operations
Global Average Pooling	Pooling Operations
1x1 Convolution	Convolutions
Batch Normalization	Normalization
Max Pooling	Pooling Operations
Softmax	Output Functions
Convolution	Convolutions
Darknet-19	Convolutional Neural Networks
YOLOv2	Object Detection Models

METHOD

TYPE

Average Pooling