A New Biased Auto-Encoder with Tailored Skip Connections
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://figshare.com/articles/dataset/_i_A_New_i_b_i_T_i_b_i_ailored_i_b_i_S_i_b_i_kip_i_b_i_C_i_b_i_onnection_TSC_i_i_for_Auto-Encoders_i_/27898620
下载链接
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资源简介：
This dataset includes our outputs and pre-trained models.
You can access full codes from our Github: https://github.com/Juicy-Honey/Biased-Auto-Encoder-with-TSC-official
We also provide the datasets used for training and testing, including modified versions. You can access them here: https://drive.google.com/drive/u/0/folders/109HkUblxFp99bTFVWqcKB5y4_-Okakup.
The original datasets are widely used in super-resolution research, and we acknowledge their respective sources:
BSD100: Berkeley Segmentation Dataset. Download and Information.Urban100: From the paper ‘Deep learning for single image super-resolution’. Download and Citation.Set5 and Set14: Benchmarks introduced in various super-resolution research papers. You can find them compiled here.
创建时间：
2024-11-25
