Classification-and-Segmentation-on-PASCAL-VOC2009
We use deep convolutional autoencoder to do classification and later segmentation on a subset of PASCAL VOC2009 dataset. We also apply techniques like t-SNE, UMAP, PCA for visualization of latent space.
