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May 25, 2023 · We present a novel method, called Dynamic Data Augmentation (DDAug), which is efficient and has negligible computation cost.
Aug 31, 2023 · Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation. 3 atively refined through updating, pruning, and sampling. In contrast to ...
This is the official implementation of ICONIP 2023: Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation. Requirements. To run the code base ...
Our DDAug develops a hierarchical tree structure to represent various augmentations and utilizes an efficient Monte-Carlo tree searching algorithm to update, ...
Bibliographic details on Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation.
Our DDAug develops a hierarchical tree structure to represent various augmentations and utilizes an efficient Monte-Carlo tree searching algorithm to update, ...
sign in. Article,. Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation. X. Xu, Y. Hsi, H. Wang, and X. Li. CoRR, (2023 ). 1. 1. Meta data.
数据增强在机器学习领域多指采用一些方法(比如数据蒸馏,正负样本均衡等)来提高模型数据集的质量,增强数据。
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation. X Xu, Y Hsi, H Wang, X Li. International Conference on Neural Information Processing, 272-282, ...
To this end, we present a novel method, called Dynamic Data Augmentation (DDAug), which is efficient and has negligible computation cost. Exploring the ...