CBNet: A Novel Composite Backbone Network Architecture for Object Detection

9 Sep 2019Yudong LiuYongtao WangSiwei WangTingTing LiangQijie ZhaoZhi TangHaibin Ling

In existing CNN based detectors, the backbone network is a very important component for basic feature extraction, and the performance of the detectors highly depends on it. In this paper, we aim to achieve better detection performance by building a more powerful backbone from existing backbones like ResNet and ResNeXt... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Object Detection COCO test-dev Cascade Mask R-CNN (Triple-ResNeXt152, multi-scale) box AP 53.3 # 1
AP50 71.9 # 3
AP75 58.5 # 1
APS 35.5 # 3
APM 55.8 # 4
APL 66.7 # 2
Instance Segmentation COCO test-dev Cascade Mask R-CNN (ResNeXt152, CBNet) mask AP 43.3% # 3