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Enrich capabilities around diagrams with:
- get and activate / deactivate the layers of a diagram
- get and activate / deactivate filters of a diagram
- export the diagram as image with selection…
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Thanks for your great work! I try to leverage the STViT-R-Swin-S in the semantic segmentation task according to Sec 6.3 in the paper. I use the pretrained checkpoint of STViT-R-Swin-S in #5 with the T…
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related paper
|摘要|
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|We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the convolutional layers adopted from VGG 16-…
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🔬 *This is an experiment in doing radically open research. I plan to post all my work on this openly as I do it, tracking it in this issue. I'd love for people to comment, or better yet collaborate! *…
colah updated
3 years ago
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Lightdash is an open source BI solution that runs on top of dbt's Semantic Layer. It would be interested to be able to ship a few dashboards within the project, and Lightdash can be helpful for that.
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See: https://github.com/jsx-eslint/eslint-plugin-jsx-a11y/blob/master/docs/rules/no-static-element-interactions.md
# no-static-element-interactions
Static HTML elements do not have semantic mean…
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**In the paper, section 3.1 BERT, it is said that -**
`we extract a fixed sized vector via max pooling of the second to last layer.` then `A sentence of N words will hence
esult in an N ∗ H embeddi…
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Hi, do you have a plan to release the segmentation code? I reproduced the Mambaout-Tiny on ImageNet-1K, which achieves 82.6 top1 accuracy. I think the result is reasonable given the randomness and the…
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## Problem
The current HTML and CSS code has several accessibility issues that can make it difficult for users with disabilities to navigate and use the website. Specifically, the code is missing ARI…
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I am fairly new to C#, and am wondering how to access the results of an inference.
My model (Semantic Segmentation) has as output layer the dimension (n,h,w,c) [n=1,h =256, h=256, c=3]. (For 3 diff…