A-Fast-RCNN: Hard positive generation via adversary for object detection

来源：互联网发布：物理虚拟实验室软件编辑：程序博客网时间：2024/05/29 20:01

https://github.com/xiaolonw/adversarial-frcnn

Object detection requires the ability to be robust to illumination, deformation, occlusion and intra-class variations.
data-driven strategy – collect large-scale datasets which have object instances under different conditions.
The hope is that these examples capture all possible variations of a visual concept and the classifier can then effectively model invariance to them.
long tail : How can we sample such occlusions and deformations which lie on the tail?

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