DetNet: A Backbone network for Object Detection

17 Apr 2018Zeming LiChao PengGang YuXiangyu ZhangYangdong DengJian Sun

Recent CNN based object detectors, no matter one-stage methods like YOLO, SSD, and RetinaNe or two-stage detectors like Faster R-CNN, R-FCN and FPN are usually trying to directly finetune from ImageNet pre-trained models designed for image classification. There has been little work discussing on the backbone feature extractor specifically designed for the object detection... (read more)

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