时隔5年，历时4年，耗时2年的《PyTorch实用教程》（第二版）完成了。在第一版的精华之上，增加了丰富详实的深度学习应用案例和推理部署框架，使本书更系统性的涵盖深度学习工程师所涉及的知识面。如人工智能技术发展一浪接一浪，《Pytorch实用教程》（第 ...

We provide PyTorch implementations for both unpaired and paired image-to-image translation. This PyTorch implementation produces results comparable to or better than our original Torch software. If ...

The proposed D2Net was implemented using the PyTorch framework and trained on a single NVIDIA GeForce GTX 3090Ti with ... losing their microvascular shape. TransUNet and UTNet focus more on local ...

如 Transunet 将 Transformer 与 U-Net 结构结合 ... 实验在 NVIDIA RTX A5000 处理器上进行，使用 PyTorch 框架和 Linux 操作系统。输入图像大小固定为 256×256，选择 AdamW 优化器，学习率为 0.001，训练 300 个 epoch，批次大小为 32，训练过程中固定随机种子。 评估 SSR-UNet 模型 ...

The proposed method's performance is compared with that of contemporary CNN networks, including U-Net, Seg-Net, Res-Net, Dense-Net; popular CNN networks such as DeeplabV3+, HR-Net, SegFormer; and ...

the proposed method can effectively segment the edges of water bodies and detect small target objects from complicated background. The proposed method outperforms known models such as Unet, SegNet, ...