Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...
Abstract: Mainstream lane detection methods often lack flexibility, accuracy, and efficiency in challenging scenarios, especially with occlusion and extreme lighting. To address this, we reframe lane ...
Abstract: Deep-learned variational auto-encoders (VAE) have shown remarkable capabilities for lossy image compression. These neural networks typically employ non-linear convolutional layers for ...
We introduce VA-DepthNet, a simple, effective, and accurate deep neural network approach for the single-image depth prediction (SIDP) problem. The proposed approach advocates using classical ...
基于 条件变分自编码器 Conditional Variational Autoencoder, CVAE 的轻量级图像生成项目。 本项目可以使用一组图片进行训练 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results