EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2021.102058
Abstract: Deep learning techniques hold promise to develop dense topography reconstruction and pose estimation methods for endoscopic videos. However, currently available datasets do not support effective quantitative benchmarking. In this paper, we introduce a comprehensive endoscopic… read more here.
Keywords: depth; estimation; endoscopic videos; sub datasets ... See more keywords
Beyond the Illusion: Ensemble Learning for Effective Voice Deepfake Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3457866
Abstract: Deepfake synthetic media, manipulated using artificial intelligence to mimic authenticity, has become more dangerous in the modern digital era. Despite significant progress in video deepfake detection, audio deepfake detection relies on specific datasets and machine… read more here.
Keywords: deepfake; deepfake detection; sub datasets; ensemble learning ... See more keywords