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Previous comments:
Ahmed14974: As previously observed through preliminary modeling iterations, any and all models trained on the input images to predict the Continuous Target variable CTBiomarkers.…
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Resnet이 VGG보다 두배정도 좋다길래 해봄
Reference: https://github.com/hwkim94/hwkim94.github.io/wiki/resNet-implementation
Reference: Deep Residual Learning for Image Recognition Kaiming He Xiangyu Zhang Sha…
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Hey @Hi-FT @JacobYuan7 Found bunch of issues. Do you plan on fixing them anytime soon?
I installed with
```
conda create -n erd python=3.8
conda activate erd
conda install pytorch==1.7.1 torchv…
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thank you for your greate jobs. I see you report the result with res-18 for imagenet in your paper. Do you have trained more deep layers for imagenet or some other largescale dataset? for example res…
zjupx updated
6 years ago
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resnet_v1_50/block1 (?, ?, ?, 256)
resnet_v1_50/block2 (?, ?, ?, 512)
resnet_v1_50/block3 (?, ?, ?, 1024)
resnet_v1_50/block4 (?, ?, ?, 2048)
Shape of f_0 (?, ?, ?, 2048)
Shape of f_1 (?, ?, ?, 5…
YCICI updated
3 years ago
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Hi.
I want to fine-tune resnext-101 on hmdb51_split1 with lr=0.001 and weight_decay=1e-5,but after 200 epoch, the eval only get 10% accuracy. I have checked train.log and val.log, the acc of train.lo…
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Hi~Thanks for your great work!
In main.py, the code:
if args.arch=='resnet_50':
skip_list=[1,5,8,11,15,18,21,24,28,31,34,37,40,43,47,50,53]
if cov_id+1 not in skip_list:
…
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I reproduce the work and discover that it does not work well on the CIFAR-100 when I choose the Resnet-34 as the backbone, results have been shown below
hyperparameter tau is 0.04, as same as CIFAR-1…
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在编译完之后，运行代码的时候，报下面这个错误：
Traceback (most recent call last):
File "train.py", line 71, in
main()
File "train.py", line 68, in main
trainer.train()
File "/home/hj/smbshare/fffan/Dete…
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Platform Ubuntu 18.04:
Python version: 3.6
Source framework with version: Pytorch 0.4.1
Destination framework with version: Caffe
Running the following commands (from https://github.com/M…