ijepa
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Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive archite...
First of all thank you for sharing such an amazing project 🙂. Can we use the embeddings generated by context encoder of this pertained model for a task like object...
Firstly,I would like to express my appreciation for your amazing work. As ViT-B is too large for our project,I noticed that you conducted experiments with ViT-B in your paper. Could...
If I understand I-JEPA correctly, The key insight is to predict the more semantic representation instead of low-level pixels. Then how is I-JEPA different from data2vec2.0? Can you give me...
Some initial discussion about this repository indicated that it was open source. Open source is a term of art referring only to licenses that fit the open source definition and...
Non-commercial (NC) clauses are non-free as they are not free software according to the [FSF](https://www.gnu.org/philosophy/free-sw.html#selling), open source according to the [OSI](https://opensource.org/osd#free-redistribution), or free culture according to [Freedom Defined](https://freedomdefined.org/Definition). I would...
The current code snippet has two issues related to logging configuration and YAML loading. These issues should be addressed to ensure proper functionality and security. Here are the details of...
The code lacks proper logging and error handling, which can make it difficult to troubleshoot issues and identify failures during execution. It is important to improve the logging mechanism and...
### Description: I noticed a minor capitalization inconsistency in the README.md file, specifically in the section describing the benefits of I-JEPA. The word "Without" is currently written in lowercase, and...
Thank you for your great ptoject. I try to run main.py, where to download /imagenet_full_size/061417? I got this error 