Haibao Yu

Hi, I also find the second question. And Did you reappear the quantization method? I reappear the quantization method based on cifar10+resner20 as 3.4 of the paper; however, this linear...

Thanks, and I have dealt with this problem by replacing the gumbel softmax with following code `u = Variable((torch.zeros_like(log_alpha)).uniform_()) softmax = torch.nn.Softmax(-1) soft_mask_variables = softmax((log_alpha + (-((-(u.log())).log())).cuda()) / self._temp)` However,...

> Thanks, and I have dealt with this problem by replacing the gumbel softmax with following code > `u = Variable((torch.zeros_like(log_alpha)).uniform_()) softmax = torch.nn.Softmax(-1) soft_mask_variables = softmax((log_alpha + (-((-(u.log())).log())).cuda()) /...

> Hi @walk2out I met the same problem as you my env is also under Pytorch0.4.1. But your solution doesn't make sense for me. It involves some unknown variables like...

> Hi, I found out that the track-ids for same object across different sensors (lidar and camera) at same timestep. Across different timesteps, across different cameras is not same as...

Hi, VincentCa: Thanks for your nice reply. You have solved my question. There is another related technique question about the trajectory definition: why should we label the fully occluded objects?...

Hi, Vincent: Thanks your helpful reply!

> Hello, > What are the hyper parameter for the training of vggsmall on cifar 10? Hi, how is the problem going? I also implement lsq method with resnet20 on...

> > Hello, > > What are the hyper parameter for the training of vggsmall on cifar 10? > > Hi, how is the problem going? I also implement lsq...