Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion
A novel zero-shot monocular motion segmentation approach that combines the strengths of deep learning and geometric motion models to achieve state-of-the-art performance without any training.