-
# Describe the feature
**Motivation**
There is no implementaiton of SwinV2 for semantic segmentation
**Related resources**
The original implementation is only for Image Classification.
**Addi…
rznas updated
2 years ago
-
Hi, Thanks for the great work, I am really interested in this idea of using contrastive learning in imbalanced studies. I am just a bit confused about this `--balance` term in the argument, are you ju…
-
Hi there,
Thanks for your great work! I'm writing to recommend our AAAI 2021 paper, _Context Matters: Graph-based Self-supervised Representation Learning for Medical Images_ to your repo, it belong…
-
## 🚀 Feature
I would like to contribute to the pytorch (in python and c++) by adding the [ contrastive loss/siamese_margin_loss](http://yann.lecun.com/exdb/publis/pdf/hadsell-chopra-lecun-06.pdf) f…
-
Hi Yao-Hung, it seems like the method of combining contrastive objective and reconstruction objective is really effective in your work. I'm wondering if this method can be extended to similar represen…
-
dalao, I find that in PaCo or GPaCo the logits on the numerator in the loss function not masked, but the denominator of the loss function is masked cause `exp_logits = torch.exp(logits) * logits_mask`…
-
Sorry to bother you! I have some questions about the code and would like to ask.
1) In the data processing stage, I didn't find that you set up two views according to the paper; 2) In the training st…
-
## Prequest
![image](https://user-images.githubusercontent.com/1320252/123796714-fdc5b580-d917-11eb-9371-3e852a8a8051.png)
- https://deepmind.com/learning-resources/-introduction-reinforcement-l…
-
Hello, can the model be trained on a single GPU
-
What is the advantage of SNTG loss over triplet loss?
What is their difference?
@xinmei9322