Among it, a multi-view self-labeling strategy via the SK algorithm has been presented to effectively transfer the semantic knowledge of the known classes to improve the clustering of the unknown ...

At the same time, advances in embedded AI for object detection and categorization such as YOLO, GoogleNet and AlexNet reached an unprecedented level of accuracy (mean-Average Precision – mAP) and ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.

Meta expands AI image labeling to combat AI-generated misinformation on Facebook and Instagram, targeting deceptive content from both its own and competitors' platforms.

Meta's Segment Anything Model allows for more accurate and efficient identification and labeling within visual media, which some have labeled a "groundbreaking" advancement.