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## Summary
CLIP과 같은 open vocabulary image classification model (VLMs)으로부터 two stage detector에…
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Graph generative models are important for the tasks we have been describing.
The core idea is to posit a model which defines some distribution over graphs ```P(G)```, for instance via a low dimensi…
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First of all, thank you very much for your great paper. You found a very good approach for monocular semi-supervised learning!
I am currently trying to build on your work. At the moment I cannot r…
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Post questions here for this week's fundamental readings: Grimmer, Justin, Molly Roberts, Brandon Stewart. 2022. Text as Data. Princeton University Press: Chapters 17, 18, 20, 21, 22 —“An Overview of …
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Recently I have run some transferring experiment about self-supervised learning, which using self-supervised model as pre-trained of mask-rcnn-r50. Most paper conduct these transferring experiment in…
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This issue aims at helping **improve the support for bid optimization** in Protected Audiences without impacting the privacy stance of the API. This use-case typically involves:
- Predicting an outco…
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Dear author,
I cannot build fusbile. Can you send me an executable one?
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Hi,Thanks for you great job.I found you add depth loss for NGP. I wonder is it work?,I mean can it provide PSNR or SSIM? And where is depth_gt come from? from 3d point just like ds-nerf or really dep…
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# Seth ideas
* Virtual Batching ideas (re eval effects of virtual loss https://github.com/tensorflow/minigo/issues/427)
* Only add X from batch of Y to the tree, put the rest in NNCache to use if …
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I had some troubles trying to replicate your results