unable to reproduce the result on CIFAR-100 with the same settings in the paper

[Berumotto1]

In the experiment of VGG16 on CIFAR100, I set the l=4, init_threshold=4, seed=42, the acc of SNN at T=2 is 0.0100 and the acc of SNN at T=64 is 0.7534(0.7705 in the paper).
In the experiment of ResNet20 on CIFAR100, I set the l=8, init_threshold=4, seed=42, the acc of SNN at T=64 is 0.6890(0.7055 in the paper).
Thank you for providing the code, expecting for your reply.

[putshua]

Please refer to the latest version.

[bjourne]

Hello!

Fwiw, I'm am able to reproduce your results on CIFAR100 with VGG16 and L=8:

SRC	ANN	T=1	T=2	T=4	T=8	T=16	T=32	T=64	T=128
Mine	77.15	43.08	52.73	63.49	71.77	75.71	76.87	77.05	77.10
Google Drive	77.41	35.38	52.71	66.04	70.75	73.54	74.43	74.34	74.41
Paper	-	44.98	52.46	62.09	70.71	74.83	76.41	76.73	76.73

Mine refers to the model I trained myself, Google Drive to your pretrained model, and Paper to the figures in the paper. I even get slightly better performance for some values of T. Only difference is that I train with LR=0.1 instead of 0.05.