基于门控特征融合与中心损失的目标识别

莫建文,李晋,蔡晓东,陈锦威

Target recognition based on gated feature fusion and center loss

Jian-wen MO,Jin LI,Xiao-dong CAI,Jin-wei CHEN

表 4 分类网络增加中心距离损失后的mAP值

Tab.4 mAP value of classification network after increasing center distance loss %

方法 Randomdata1 Randomdata2 Randomdata3 L1 L2 L1 L2 L1 L2 人脸分类 35.532 37.925 36.089 37.993 34.389 36.665 行人分类 52.275 56.777 51.527 56.182 50.626 54.934 特征相加融合 55.585 61.623 55.961 61.962 54.146 59.247 首尾拼接融合 57.890 65.642 57.091 64.684 55.851 62.271 软注意力融合 59.835 67.234 58.936 66.039 56.261 64.915 门控特征融合 69.342 71.461 68.583 71.257 67.280 69.715