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Hi,thanks for your interesting work! As the paper reported, MOIT performs much better than other SOTAs on mini-WebVision dataset. Could you share the code on mini-WebVision dataset? That's will help …
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Create services diagram and add it to documentation.
Services diagram will explain what kind of services we'll use and how they'll interact with each other.
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Hi @junyongyou, I noticed that your triq model has a total of 23M parameters, most of which are from ResNet50. In this sense, Transformer layers are just like an FC head. The transformer layers you us…
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From the GPT-3 paper
> ARC [CCE+18] is a dataset of multiple-choice questions collected from 3rd to 9th grade science exams. On the “Challenge” version of the dataset which has been filtered to que…
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- Title: Cracking Text Classification SOTAs
- Brief description about the content to be covered
1. Starter induction to the Text Classification process.
2. Introducing State of the Arts models…
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I want to train my model on the semantic3d dataset, but there is no good data preprocessing method. Do you have any good suggestions?
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Something like sota.js? That can be forked into future years' SOTAs
Complication is that we'd be creating a new repo with this repo name which might cause problems
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Thanks for you job. I want to know does the simple network structure of downstream task affect the result? Because if you use a fine tuned network of pretrained network , it jusk like you have a more …