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I made fine-tuning on the *Bitmoji* dataset according to the *Domain Adaptation* section, and the segmentation mask obtained is still far from the truth. Could you please advise how to get results lik…
Riqzz updated
2 years ago
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## 0. Paper
authors: Zi Yin, Vin Sachidananda, Balaji Prabhakar
paper: [arxiv](https://arxiv.org/abs/1812.10382)
## 1. What is it?
They propose a global anchor method, regularizing a local ancho…
a1da4 updated
2 years ago
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**Is your feature request related to a problem? Please describe.**
sktime currently lacks built-in tools for model explainability, making it difficult for users to interpret and understand the pred…
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Hi! I looked into your dataset link and found two Refuge datasets Domain3 and Domain4, can we use domain adaptation between these two domains? Is there any meaning for this? thx a lot!
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**Describe the solution you'd like**
It would be nice to have an option for self-training. Self-training is related to active learning but gets labels for queries based on its predictions instead of …
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Hi, @jhoffman ,
Could you also provide the code about "Train Image-level Adaptation for Semantic Segmentation" as mentioned in CyCADA paper? The code found in this repo. only shows feature-level do…
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I observed that 2 codes have different apostrophes. I have mentioned the links below along with references.
From [DomainAdaptationViaHovorod](https://github.com/big-data-lab-umbc/Reproducible_and…
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**Problem statement**
In GeoDCAT-AP 2.0.0 `dct:type` on Data Service is used in three different contexts.
1. [service category](https://semiceu.github.io/GeoDCAT-AP/releases/2.0.0/#data-service-…
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## 一言でいうと
物をつかむロボットの学習では、実際の画像を用意するのが大変。そこで、シミュレーター上の画像をGANで本物っぽくすることで学習データの量産を試みた研究。これにより必要なデータを1/50にできた他、GANの合成画像のみで約100万枚の実画像で学習した結果と同等の成果が出せることを確認
![image](https://user-images.githubusercont…
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