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Hi,
I have fine-tuned my model using `supervised` mode on my custom data. However, when I switch to `selfsupervised_kmeans` and add the mask file, I notice that the output shapes of the data from t…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
Val
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Q-M-E updated
1 month ago
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I found this paper related to the key point descriptor for event camera.
Title: [EventPoint: Self-Supervised Interest Point Detection and Description for Event-based Camera](https://openaccess.thec…
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In normal self-supervised learning, pretraining is usually achieved reconstruct the data with masking. However, in your implementation, pertaining is achieved by predicting the task with masked input.…
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## 🚀 Feature
Request to add two graph self-supervised methods to Pytorch Geometric:
(1) heuristic designed graph self-supervised tasks (ICML'20): https://arxiv.org/abs/2006.09136;
code: https:/…
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I have compared the instance retrieval performance of my current model vs. dinov2 and my model training on my data performs better than dinov2, although it does quite well. But it looks like the way d…
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https://wsxk.github.io/Self_Supervised_learning/
Supervised vs Self-supervised
Bert Self-supervised
1. Masking input
2. Next Sentence prediction
3. Bert Application
…
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Hello, I would like to ask, how to use Dinov2 for self-supervised learning of unlabeled images, get pre-trained weights, and then load the obtained pre-trained weights for supervised learning with lab…
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Hi, I found in one literature review that they categorised your model as "Self-supervised generative", but in your article as I understood, you are using labels during pre-training (so basically the s…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…