The proposed method is capable of learning landmarks for various body regions, including faces and hands. The training set consists of roughly 18k frames (about 10 minutes each)...
The dataset used for training the proposed Underwater GAN (UGAN) model, which consists of paired images of underwater scenes with and without distortion.
