Shiming Chen

We will release the training codes as soon as possible.

> @shiming-chen Would you please release the train.py **AS SOON AS POSSIBLE**? @Mdahao @yangxinhaosmu @Bang2hen1iu Hi, respective researchers, We have released the full codes for our work HSVA, welcome to...

> Hi @Qichen98fly , Thank you for interesting in our works. All experiments are performed on a single NVIDIA RTX A6000 graphic card with 48-GB memory. And each program takes...

> 您好：请问什么时候能公开全部代码呢？ Hi, @HanAccount Thank you for interesting in our works. We will release the training codes as soon as possible. Best wishes! Shiming

> Dear, @lassloss Thank you for interesting in our works. We can implemente the results in the paper, I guess you may incorrectly load the pre-trained models (we should note...

> Dear author，thanks for your code.Because you don't give the train.py.I am just wondering how many epochs you did in training.I would be very grateful if you could give me...

Hi @hugh920 , s_p is the learned attributed scores \psi_k. s_pp is the prediction, i.e., p_1 or p_2. Best!

Hi, @fikry1999 , We will release the training codes as soon as possible. Welcome to learn more about our works, Best!

Hi, guys. Thank you for interesting in our work. It's sorry to upload the code for ploting attention map so late, as I'm busying in other project. I just uppload...

I also see such problem. I try to correct it with the unseen set aggregation, but there are bugs. Have you solve it? @Programmergg @zcrwind