Normalized Validity Scores for DNNs in Regression based Eye Feature Extraction

arXiv:2403.11665v1 Announce Type: new
Abstract: We propose an improvement to the landmark validity loss. Landmark detection is widely used in head pose estimation, eyelid shape extraction, as well as pupil and iris segmentation. There are numerous additional applications where landmark detection is used to estimate the shape of complex objects. One part of this process is the accurate and fine-grained detection of the shape. The other part is the validity or inaccuracy per landmark, which can be used to detect …

abstract applications arxiv cs.cv detection extraction feature feature extraction head improvement landmark loss regression segmentation type