Vinod K Kurmi

miniCoco Data set

1

have you any script file to create json and hd5 file for minitrain2014 coco and minval2014 coco dataset??? Thanks

Hi, How you are evaluating the code ?? (mAP for test data)?? Please share that script with us thanks

Hi @artix41 Please add the following paper related to Domain Adaptation. It has been accepted in IJCNN2019 Oral. Paper: https://arxiv.org/abs/1904.01341 Project page: https://vinodkkurmi.github.io/DiscriminatorDomainAdaptation/ Code: https://github.com/vinodkkurmi/DiscriminatorDomainAdaptation Thanks

HI @milhidaka I am getting the following error Traceback (most recent call last): File "../main/main.py", line 90, in num_classes=source_train.dataset.dataset.num_class, num_domains=disc_dim, pretrained=True) File "../util/util.py", line 72, in get_network_fn return nets_map[name][train](**kwargs) File...

HI @redhat12345 Please add the following paper related to Domain Adaptation Paper: https://arxiv.org/abs/1904.01341 Project page: https://vinodkkurmi.github.io/DiscriminatorDomainAdaptation/ Thanks

@caozhangjie @longmingsheng Can you please share the pretrained model(MADA) trained on Office 31 dataset or Home-office dataset ? Thanks

Experiment related information

1

Hi, 1. Could you please share the experiment details of table 3 in the paper( 31 classes--> 25 classes), which classes you used in the target domain and how did...

Where can I get the trained model on office dataset(A-W) ????