jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
PythonMIT
Issues
- 1
Office-31 webcam域上微调模型丢失
#432 opened by ssbhss - 2
关于transferlearning/code /DeepDA的模型代码读取
#425 opened by susan1314 - 1
作者您好!请问AdaRNN的对比实验中,MMD-RNN和DANN-RNN是如何实现的,MMD-RNN的源域和目标域是如何定义的,AdaRNN相比这两个对比模型进步在哪里?
#435 opened by silent1999 - 1
Feature Request:添加ADDA的代码以及与其他方法的比较。
#436 opened by rzy0901 - 2
- 1
关于TransferNet中source_clf计算的疑问
#418 opened by dywaneWang - 1
- 1
程序显示没有loss_funcs模块
#421 opened by xugliang - 2
- 0
有关于在使用DG中DANN方法中遇到的问题
#429 opened by dwXzd - 2
- 1
对比算法的复现缺少部分流程
#420 opened by 95264 - 3
Our new test-time adaptation algorithm for segmentation
#423 opened by lwpyh - 2
BDA代码中的数据集的问题
#417 opened by yxgzhumeng - 3
MMD距离 backward问题
#416 opened by huangwentao123 - 9
- 3
有个小疑问
#414 opened by huangwentao123 - 3
- 2
关于office home数据集的问题
#409 opened by arxhsyd123 - 1
- 1
关于DAN中MMD正则项反向传播问题
#391 opened by xingzhiyuan000 - 2
- 2
域适应方法的测试集是目标域所有的图片吗
#396 opened by tangkail - 2
DANN最佳训练结果
#393 opened by yuninn - 1
在csv文件上用DeepDA而不是图像,遇到了一些问题
#394 opened by huanglongfei1 - 3
方法选择
#395 opened by ppyourdaddy - 1
运行deepcoral训练中途报错
#399 opened by tangkail - 5
运行MMD时矩阵不一致问题的报错。
#400 opened by sunsenheping - 4
DIFEX about loss3
#389 opened by xiaopang114 - 1
adarnn:如何实现多步预测
#387 opened by yxgzhumeng - 9
迁移学习DeepDA的代码复现
#390 opened by 2684957921 - 5
DIFEX里的可视化傅里叶变换
#386 opened by xiaopang114 - 6
- 3
TCA算法中求解特征向量的问题
#376 opened by fqxrgf - 5
Digit-five dataset link
#378 opened by 1320harry - 3
can NOT train on the specific GPU
#381 opened by ZZhangsm - 3
DIFEX中的损失函数问题
#380 opened by ss3b3 - 5
RuntimeError: CUDA out of memory.
#379 opened by majortsui - 3
When use DeepGA ANDMask find an error?
#373 opened by didi226 - 1
A question about mmd.py of MRAN
#374 opened by gloomy1999 - 2
我想请教以下,在领域自适应中,源域和目标域数据量差距往往很大。在进行领域自适应计算时,是不是会舍弃掉部分数据不参与领域自适应,而以最短的数据作为取出的数据量呢
#375 opened by deeplearningkl - 1
如何在DANN中实现N way K shot的训练模式
#377 opened by Steven-navi - 1
Hello, I used your deepDA code and then replaced the feature extraction network with shufflenetv2, but the accuracy rate was very low, only 0.4. But I use the shufflenetv2 network to classify the source domain dataset with very high accuracy, what is the problem
#367 opened by ww0929lib - 1
SOT how to use my dataset
#369 opened by isCopyman - 2
Modify the dataset to use the MEDA algorithm
#371 opened by A0hdhyz9Z - 1
Hello, I know that SOT is a traditional method to solve DA problem, how to use it in deep learning?
#370 opened by maoshiyun - 2
Hello, I have read your SOT code carefully, there is a question to ask you, how to add loss function to make the target domain samples to achieve better classification effect? Is there a code or related papers recommended to me
#368 opened by maoshiyun - 1
- 0
换成PEMS04数据集不收敛的情况
#364 opened by maoyuanhui - 1