基于差分特征注意力机制的无锚框多光谱行人检测算法

沈继锋, 刘岳, 韦浩, 左欣, 杨万扣

Anchor free multispectral pedestrian detection algorithm based on differential feature attention mechanism

Jifeng SHEN, Yue1 LIU, Hao WEI, Xin ZUO, Wankou YANG

表4 本文算法与其他先进算法在KAIST数据集上的实验结果

方法 全天 白天 夜间 近距离 中距离 远距离 无遮挡 部分遮挡 严重遮挡 ACF+C+T[4] 47.32% 42.47% 56.17% 28.74% 53.67% 88.20% 62.94% 81.40% 88.08% RPN+BF[20] 18.29% 19.57% 16.27% 0.04% 30.87% 88.86% 47.45% 56.10% 72.20% Halfway Fusion[7] 25.75% 24.88% 26.59% 8.13% 30.34% 75.70% 43.13% 65.21% 74.36% IAF[21] 15.73% 14.55% 18.26% 0.96% 25.54% 77.84% 40.17% 48.40% 69.70% IATDNN[22] 14.95% 14.67% 15.72% 0.04% 28.55% 83.42% 45.43% 46.25% 64.57% AR-CNN[19] 10.43% 11.34% 8.85% 0.79% $13.15\%$ $37.41\%$ $20.61\%$ $33.29\%$ 61.42% MBNet[5] $8.01\%$ $9.34\%$ $7.89\%$ 0.12% 14.09% 53.75% 25.71% 35.24% $58.16\%$ 本文算法 8.76% 8.76% 8.71% $0.01\%$ 15.71% 51.14% 27.02% 33.93% 61.74%