We propose a novel method that can learn easy-to-interpret latent representations in real-world image datasets using a VAE-based model by splitting an image into several disjoint regions. Our method performs object-wise disentanglement by exploiting image segmentation and alpha compositing. With remarkable results obtained by unsupervised disentanglement methods for toy datasets. rece... https://umjjzkgxvzv1lt.timeblog.net/70688375/non-invasive-assessment-of-oxygenation-status-using-the-oxygen-reserve-index-in-dogs