雅虎香港 搜尋

搜尋結果

1. • Self-supervised approach for learning 3D image representations

     • Models Genesis, or Generic Autodidactic Models, is a self-supervised approach for learning 3D image representations. The objective of Models Genesis is to learn a common image representation that is transferable and generalizable across diseases, organs, and modalities.
     paperswithcode.com/method/models-genesis

     Models Genesis Explained - Papers With Code

2. 其他人也問了

   What is models Genesis?

   • A key contribution of ours is a collection of generic source models, nicknamed Models Genesis, built directly from unlabeled 3D imaging data with our novel unified self-supervised method, for generating powerful application-specific target models through transfer learning.

   Models Genesis - ScienceDirect

   www.sciencedirect.com/science/article/pii/S1361841520302048

   查看此問題的所有搜尋結果

   How does a model Genesis learn a common image representation?

   • A Model Genesis, an encoder-decoder architecture with skip connections in between, is trained to learn a common image representation by restoring the original sub-volume x i (as ground truth) from the transformed one x ˜ i (as input), in which the reconstruction loss (MSE) is computed between the model prediction x i ′ and ground truth x i.

   Models Genesis - ScienceDirect

   www.sciencedirect.com/science/article/pii/S1361841520302048

   查看此問題的所有搜尋結果

   Why should you use models Genesis?

   • Models Genesis are trained by a robust, scalable self-supervised learning framework. Models Genesis surpass learning from scratch and other existing 3D pre-trained models. Models Genesis cut annotation cost by at least 30%, maintaining a high performance. Models Genesis consistently top any 2D/2.5D approaches in solving 3D imaging problems.

   Models Genesis - ScienceDirect

   www.sciencedirect.com/science/article/pii/S1361841520302048

   查看此問題的所有搜尋結果

   Can models Genesis be used in medical applications?

   • In the following, we examine Models Genesis on five distinct medical applications, covering classification and segmentation tasks in CT and MRI images with varying levels of semantic distance from the source (Chest CT) to the targets in terms of organs, diseases, and modalities (see Table 2) for investigating the transferability of Models Genesis.

   Models Genesis - ScienceDirect

   www.sciencedirect.com/science/article/pii/S1361841520302048

   查看此問題的所有搜尋結果

   Can models Genesis transfer learned image representation across modalities?

   • These observations suggest that Models Genesis are of great potential in transferring learned image representation across diseases, organs, datasets, and modalities. C.F. Baumgartner, L.M. Koch, K. Can Tezcan, J. Xi Ang, E. Konukoglu

   Models Genesis - ScienceDirect

   www.sciencedirect.com/science/article/pii/S1361841520302048

   查看此問題的所有搜尋結果

   How good is models genesis for learning 3D models from scratch?

   • Specifically, the performance of learning 3D models from scratch with entire datasets can be approximated using Models Genesis with only 50%, 5%, 30%, 5%, and 30% of datasets for NCC, NCS, ECC, LCS, and BMS, respectively.

   Models Genesis - ScienceDirect

   www.sciencedirect.com/science/article/pii/S1361841520302048

   查看此問題的所有搜尋結果

3. 圖片

   • 
   • 
   • 

   查看全部

4. github.com › MrGiovanni › ModelsGenesisMrGiovanni/ModelsGenesis - GitHub

   github.com › MrGiovanni › ModelsGenesis

   • 網頁紀錄

   We have built a set of pre-trained models called Generic Autodidactic Models, nicknamed Models Genesis, because they are created ex nihilo (with no manual labeling), self-taught (learned by self-supervision), and generic (served as source models for generating

5. arxiv.org › abs › 1908[1908.06912] Models Genesis: Generic Autodidactic Models for ...

   arxiv.org › abs › 1908

   • 網頁紀錄

   2019年8月19日 · To overcome this limitation, we have built a set of models, called Generic Autodidactic Models, nicknamed Models Genesis, because they are created ex nihilo (with no manual labeling), self-taught (learned by self-supervision), and generic (served as source models for generating application-specific target models).

   • 作者: Zongwei Zhou, Vatsal Sodha, Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotwa...
   • Cite as: arXiv:1908.06912 [eess.IV]

   • Publish Year: 2019

6. www.sciencedirect.com › science › articleModels Genesis - ScienceDirect

   www.sciencedirect.com › science › article

   2021年1月1日 · A Model Genesis, an encoder-decoder architecture with skip connections in between, is trained to learn a common image representation by restoring the original sub-volume x i (as ground truth) from the transformed one x ˜ i (as input), in which the reconstructionx

7. blog.csdn.net › m0_62346839 › article自监督医学图像Models Genesis: Generic Autodidactic Models ... 簡

   blog.csdn.net › m0_62346839 › article

   • 網頁紀錄

   2022年5月22日 · Models Genesis始终领先于任何2D方法，包括微调从ImageNet预先训练的模型，以及微调Models Genesis的2D版本，确认三维解剖信息的重要性以及我们的模型Genesis对三维医学成像的意义。

8. modelgenesis.com › zh-hans › about-us關於我們 – Model Genesis簡

   modelgenesis.com › zh-hans › about-us

   • 網頁紀錄

   模特兒新天地於二零零三年十一月在香港成立，以應付香港及國內企業對國際模特兒的龐大需求。. 自成立以來，模特兒新天地的業務發展迅速，現躍身成為本地以至海外均獲得認可的本地最佳模特兒公司之一，所轉介的知名模特兒來自全球超過三十個國家。. 作 ...

9. www.facebook.com › ModelGenesisModel Genesis Ltd. | Hong Kong Hong Kong - Facebook

   www.facebook.com › ModelGenesis

   Model Genesis Ltd., Hong Kong. 5,951 likes · 7 talking about this · 114 were here. Phone: 28107280 Email: bookers@modelgenesis.com Website: http://www.modelgenesis.com

10. paperswithcode.com › method › models-genesisModels Genesis Explained - Papers With Code

    paperswithcode.com › method › models-genesis

    • 網頁紀錄

    Models Genesis, or Generic Autodidactic Models, is a self-supervised approach for learning 3D image representations. The objective of Models Genesis is to learn a common image representation that is transferable and generalizable across diseases, organs