-
## 🚀 Feature
Idea is to provide new class of example for self supervised learning.
It could be an implementation of paper "A Simple Framework for Contrastive Learning of Visual Representations" …
-
### Author Pages
https://aclanthology.org/people/h/hui-chen/
### Type of Author Metadata Correction
- [X] The author page wrongly conflates different people with the same name.
- [ ] This author ha…
-
## 🚀 Feature
torch.scatter_add will distribute values over an output tensor, summing if multiple values land in the same destination coordinate.
torch.logsumexp performs addition in linear space o…
fuzic updated
2 months ago
-
Understanding the content of both enough that I can answer questions confidently. Understanding around 90% of the material.
-
May I ask if the code provided below can be used for 3D medical image registration, especially for multi-modal registration of lung of CT image and lung of CBCT image
-
Hello,
I would like to test this promising framework on a similarity classification task. So basically, I have got a dataset with 3 columns: (sentence1,sentence2,label). From what I understand, curre…
-
Hi, thanks for your awesome work about contrastive learning in semantic segmentation.
I notice that the `decoder_contrast.py` does not contain the code of dynamic sampling, can you provide the full…
-
Can you recommend several papers on underwater target detection? I can hardly find papers on underwater target detection in the three major conferences. Thank you
-
Thanks !
-
Hi, I'm interested in your work. After reading the paper, I'm confused that the PPC loss is achieved by contrastive learning strategy in your paper. But according to the code, the PPC loss is using c…