性能。SGLFormer在静态数据集ImageNet、CIFAR10/100和DVS数据集CIFAR10-DVS、DVS128-Gesture上进行了充分实验,结果显示,参数量为64M且输入分辨率为224*224时,SGLFormer在ImageNet上达到了83.73%的top1准确率,是同等条件下首个超越Swin Transformer(83.5%)的高性能SNN! SGLFormer总体框架 图1 SGLFormer总体框架 SGLFor...
Former Ambassador to Afghanistan Offers Unique Perspective on China During Latest SGLRetired U.S. Army Lt. Gen. Karl Eikenberry spoke to NPS students, faculty and staff in King Auditorium on the complexity of China and the history that has developed Chinas current strategic goals, during the ...
DAVID ROBINSON