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inqubvel-org/segmentation_models.pytorch (press backspace or delete to remove)Hi,
It might have been dealt with somewhere, but I couldn t find any post about it. Bascially, I m trying to create a model
instance without depending on the external network, which means when I instantiate ...
Foundsheep
- Opened 2 hours ago
- #1102
Hi, I m starting a project in semantic segmentation. However, due to limited hardware, I have to use pre-trained models
instead of training them myself. I would be appreciated if anyone can answer my question. ...
Student2Pro
- 2
- Opened yesterday
- #1100
I would like to ask the author which layers of the encoder are used for skip connections with which layers of the UNet
decoder.
Thank you.
YenYunn
- 6
- Opened 5 days ago
- #1097
Is it impossible to directly use the original UNet s encoder? Or should I use VGG11 instead, since it is similar to the
original UNet s encoder?
- 1
- Opened 12 days ago
- #1090
How do I use the Vanilla (default) encoder rather than a well-known encoder model (e.g., Resnet, Vgg, etc.)?
For instance, I want to use:
model = smp.UnetPlusPlus(in_channels=1, encoder_name= default ...
emmanuelom
- 1
- Opened 12 days ago
- #1089
I m following the example from this notebook while using segmentation_models.pytorch for a semantic segmentation task.
For data augmentation, I applied common techniques like cropping and rotation. Specifically, ...
wwma
- 1
- Opened 15 days ago
- #1088
When running the binary segmentation intro tutorial on Goolge Colab, changing the encoder type to mobilenet_v2 and it
will crash the environment during training. No exceptions are thrown, and the application ...
taiyungwang
- Opened 16 days ago
- #1085
When Deeplabv3+ uses Xception as the encoder, the following problem occurs.
Image
QingXiaoYan
- 1
- Opened 29 days ago
- #1076
Dense Prediction Transformer was introduced in the paper - Vision Transformers for Dense Prediction
It was also used in UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation, which is ...
new-model
vedantdalimkar
- 6
- Opened 29 days ago
- #1073
It seems that there are issues with the annotations in the Camvid dataset. No matter how I train it, the IoU for some
categories is particularly low.
Image
- 2
- Opened on Feb 21
- #1072
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