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**Short Description**
Baseline models for end-to-end semantic segmentation of 3D LiDAR point clouds, specifically (but not limited to) the detection and categorization of instances of interest, suc…
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In the original M3SDA paper, page 4 (descriptions of M3SDA and M3SDA-beta), the paper says: "a set of N classifiers C = {C1, C2, ..., CN }" (M3SDA) and "we leverage two classifiers per domain to form …
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Dear All,
first of all, thanks for making this project available, some great work here! Together with my colleagues I have been working over the last year on `unsupervised Domain Adaptation (DA)…
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Hi, there
I am glad to make the first issue in this repo.
I've read your code and have a question about the training process.
In the original paper, ''Multiple Source Domain Adaptation with Adversa…
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Hello,
Can this method be used for semantic image segmentation? I have a dataset of unlabeled real images and a dataset of labeled synthetic images? Will the big resolution of the image be a proble…
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Мини блог о курсовой работе.
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Dear All,
first of all, thanks for making this library available, some great work here! Together with my colleagues I have been working over the last year on `unsupervised Domain Adaptation (DA)…
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Is there a corresponding paper?
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Hello, Thanks for your code.
In the Generative Adversarial Network (GAN), it always maintain the parameters of the G while update the parameters of D firstly, and then maintain the parameters of th…
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## Why
Machine Learning 輪講は最新の技術や論文を追うことで、エンジニアが「技術で解決できること」のレベルをあげていくことを目的にした会です。
prev. #18
## What
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面白いものを見つけた時点でとりあえず話すという宣言だけでもしましょう!