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During training, I see isolated steps that take a very long time to iterate compared to all others (About factorial, x10,000 times longer - see screenshot below).
Is there a general explanation for …
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I was reading this paper and the augmentation strategy looks quite interesting. The new method preserves the intraclass diversity with class-consistency in image generation and it outperforms other me…
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Dear Xiaoyang,
Thanks for your excellent work. Recently, I have been trying to use this code base to reproduce some instance segmentation algorithms. So, I followed the data augmentation methods of…
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This mode of data augmentation comprises expert-guided synthesis of broken changes. Unlike #18, which can intrinsically yield supervised examples, the changes induced by expert methods have no _a prio…
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**Paper**
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
**Introduction**
This article is part of a series of efforts that have used language models for data augm…
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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…
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1、Unfair comparison between state-of-the-art methods. State-of-the-art detectors such as VFNet don't use any data augmentations and only train for 24 epochs, but ObjectBox uses the CutMix and Mosaic …
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At https://github.com/ProximaNova/Booru-Augmentation-Project
Also for Booru-mass-editor.user.js I've tried around 5 solid methods (from Firefox → edit userscript, not on Github) of submitting th…
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The research work is exciting! I noticed that you formulate the automated graph contrastive learning as the min-max optimization problem. May I ask that why not use the bi-level optimization where the…
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Hi@LBH1024, it seems that the code about data augmentation is missing, which is essential to get better performance, can you share this code? Thanks!
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