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 3 分类网络增加中心距离损失后的ACC值

Tab.3 ACC value of classification network after increasing center distance loss %

方法 Randomdata1 Randomdata2 Randomdata3 L1 L2 L1 L2 L1 L2 人脸分类 40.659 43.989 41.615 44.219 39.447 42.612 行人分类 55.265 61.197 55.451 60.698 53.737 59.213 特征相加融合 59.878 65.235 60.235 67.593 57.367 66.326 首尾拼接融合 61.749 71.430 61.313 70.681 59.939 69.490 软注意力融合 64.582 72.298 63.519 71.796 62.698 71.008 门控特征融合 73.893 75.798 73.305 76.347 71.807 74.714