A New Biased Auto-Encoder with Tailored Skip Connections
收藏Figshare2024-11-28 更新2026-04-08 收录
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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_/27898620/3
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资源简介：
<b>This dataset includes our outputs and pre-trained models.</b><b>You can access full codes from our Github: </b><b>https://github.com/Juicy-Honey/Biased-Auto-Encoder-with-TSC-official</b><b>We also provide the datasets used for training and testing, including modified versions. You can access them here: </b><b>https</b><b>://drive</b><b>.google</b><b>.com</b><b>/drive</b><b>/u</b><b>/0</b><b>/folders</b><b>/109HkUblxFp99bTFVWqcKB5y4_</b><b>-Okakup</b><b>.</b>The original datasets are widely used in super-resolution research, and we acknowledge their respective sources:<b>BSD100</b>: Berkeley Segmentation Dataset. Download and Information.<b>Urban100</b>: From the paper <i>‘Deep learning for single image super-resolution’</i>. Download and Citation.<b>Set5 and Set14</b>: Benchmarks introduced in various super-resolution research papers. You can find them compiled here.<br>
提供机构：
Bae, Seonggeon; Joo, Siheon
创建时间：
2024-11-28
