Abstract: Accurate and efficient 6D pose estimation is a fundamental technology in many industrial applications. While existing dense correspondence methods have shown progress, they face challenges ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — ...
Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...
A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
Abstract: Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. Existing methods face ...
Abstract: Intent-based network automation is a promising tool that enables easier network management; however, certain challenges must be addressed effectively. These are: 1) processing intents, i.e., ...
Paramount Skydance’s hostile takeover bid of Warner Bros. Discovery places CNN and its sister cable networks squarely back into what is likely to be an extended period of management limbo. There was ...
Paramount Skydance’s hostile takeover bid of Warner Bros. Discovery places CNN and its sister cable networks squarely back into what is likely to be an extended period of management limbo. There was ...
Donald Trump has reportedly expressed interest in seeing CNN transformed into a more conservative, Fox News-like network if Paramount Skydance acquires Warner Bros. Discovery.. The Paramount bid for ...
Abstract: Based on remote-sensing imagery, road extraction has always been a common and challenging task. In this paper, we propose a Bilayer U-Net network based on a Depth-wise Separable ...
Abstract: As AI technology evolves, seeing is not believing. The boundary between human and machine creativity is increasingly blurred, presenting challenges for the art industry. This is more ...