publié le: 2023
Recent technological developments have lead to great advances in the computerized tracking of joints and other landmarks in moving animals, including...
Synthesizing novel views from a single view image is a highly ill-posed problem. We discover an effective solution to reduce the learning ambiguity by...
Multi-scale learning frameworks have been regarded as a capable class of models to boost semantic segmentation. The problem nevertheless is not trivia...
Correlated shape features involving nearby objects often contain important anatomic information. However, it is difficult to capture shape information...
Training deep networks for semantic segmentation requires large amounts of labeled training data, which presents a major challenge in practice, as lab...