all AI news
Why is ViT more commonly used than SWIN?
Feb. 29, 2024, 9:07 p.m. | /u/PM_ME_JOB_OFFER
Computer Vision www.reddit.com
The ViT paper had to pre-train their model on the 303M image JFT dataset to beat earlier convolutional models on ImageNet whereas SWIN achieves better performance without any pre-training. I imagine SWIN would achieve comparable, if not higher performance on ImageNet if it was pre-trained the same way though admittedly I haven't seen …
architectures computer computer vision computervision dataset every image imagenet paper reading swin train vision vit
More from www.reddit.com / Computer Vision
Computer vision career advice
11 hours ago |
www.reddit.com
Explaination about Cross Validation
3 days, 10 hours ago |
www.reddit.com
Creating Segmentation Masks of Rings (i.e circles with holes in )
3 days, 11 hours ago |
www.reddit.com
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Director, Clinical Data Science
@ Aura | Remote USA
Research Scientist, AI (PhD)
@ Meta | Menlo Park, CA | New York City