-
dear all
i have problem when using faster r cnn in cpu mode.
**. ./tools/demo.py --cpu**
the error i found below:
**Loaded network /home/marifnst/Downloads/py-faster-rcnn-master/data/faster_rcnn_mo…
-
Hello, thanks for your impressive work.
I am trying to reproduce the results of source only, AdaptSeg, and proposed method on C-Driving benchmarks.
I checked the appendices (C.2.Training details), …
-
Hi, @tadax, thank you very much for your project. I am new to the task of 'image inpainting', and I noticed that most of papers of this project adopt another loss, called perceptual loss by calculatin…
-
I SET m2det512_vgg :
train_cfg = dict(
cuda = True,
warmup = 5,
per_batch_size = 32,
lr = [0.004, 0.002, 0.0004, 0.00004, 0.000004],
gamma = 0.1,
end_lr = 1e-6,
st…
-
张博,
您好!
刚拜读了您的文章,有个小小的疑问还望您指教。对于文中提到的FF-Net,我的理解是以特征差异图为输入数据进行像素分类,这里为何选择使用1*1的卷积核呢?为何不使用考虑了空间上下文关系的卷积核呢(比如3*3,空洞卷积...)?
-
您好,看到您的论文:DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs ,受启发很大,很棒的工作。
这篇论文需要初始的noisy_label.npy文件,请问在三个数据集上的noisy_label文件方便提供吗?这个文件是怎么构建的呢?直接VGG16提取图像特征,然后计算内积得到相似度,然后相似度大于0则取1,小于0则取…
-
Thanks for sharing the codes!
Could you please show more results on the task SYNTHIA to Cityscapes, such as M(2)0F(2) M(2)1F(2)
Thanks a lot.
-
Could you please tell me what was the accuracy of your experiments when running the different networks you mentioned in merged_iris_face_fusion_net.py.
-
您在论文中为了验证BN对从头开始的训练的作用要比使用ImageNet预训练模型微调更有效,从而在原始VGG-16 backbone中添加BN,然后在ImageNet上进行VGG16-BN backbone的预训练,您论文中说的这个预训练模型您是使用Pytorch官方的model转化而来。我想向您训练该模型的下载地址,恳请您告知,万分感谢。
-
where and when preprocess_input() in places_utils.py be explicitly called?