-
I use the same triplet loss (with BatchHard, Euclidean distance and Soft-margin) on the fine-grained categorization dataset [CUB-200-2011.](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html) …
-
Hi, I was using the Birds_name.xlsx file to build a tree of labels when I noticed there's an error in the file at row 85:
species | family | order
Red_legged_Kittiwake…
-
I use the super parameters given in the run script to reproduce the work of WeightLoss, but I can not get the same result as reported. My best result as follow:
Epoch-130 0.6411 0.7437 0.8301 …
-
Hi,
Great thanks for your great work I2C.
When I ran the code, I met many problems. I have changed the code for training I2C on CUB-200-2011 dataset, however, I found that the obtained top1 and …
-
AttnGAN-master\code>python pretrain_DAMSM.py --cfg cfg/DAMSM/bird.yml --gpu 0
Using config:
{'B_VALIDATION': False,
'CONFIG_NAME': 'DAMSM',
'CUDA': True,
'DATASET_NAME': 'birds',
'DATA_DIR':…
-
(base) H:\AttnGAN-master\code>python pretrain_DAMSM.py --cfg cfg/DAMSM/coco.yml --gpu 0
Using config:
{'B_VALIDATION': False,
'CONFIG_NAME': 'DAMSM',
'CUDA': True,
'DATASET_NAME': 'coco',
'D…
-
Can someone provide guidance on how to generate hdf5 file for COCO dataset.
How do I get the following?
birds_images_path: '/export/mlrg/aelnouby/projects/GANs/Birds dataset/CUB_200_2011/CUB_200_201…
-
关于精度我有一些疑问,我也复现了只用ResNet50的预训练模型在CUB200数据集上的分类结果
# net
model = torchvision.models.resnet50(pretrained=True)
model.fc = nn.Linear(2048, num_class)
并在Epoch34获得了0.8607的测试精度
#epoch:34, loss:0…
-
Can you please provide a pre trained model for CUB-200-2011?
FzuLJ updated
5 years ago
-
Hello,
thanks for your work. I have a problem about " python train.py --data cub --loss Binomial " . it's Accuracy is 0.0000. and i create train.txt like this: ./CUB_200_2011/images/200.Common_Yell…