Abstract: Multi-phase medical imaging can provide significant improvement in disease multi-modal diagnosis. However, medical image data often suffer from modality missing issues. Therefore, ...

Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...

Abstract: Recent advancements in computer vision and deep learning have significantly enhanced the potential for image-based bird species identification, garnering considerable interest in ornithology ...

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 ...

Abstract: Synthetic aperture radar (SAR) and optical images provide complementary imaging information, and their joint application holds broad prospects in military reconnaissance and aircraft visual ...

Abstract: In recent years, convolutional neural networks (CNNs) have been impressive due to their excellent feature representation abilities, but it is difficult to learn long-distance spatial ...

Abstract: As a ubiquitous interaction modality in daily life, hand gestures convey rich interactive information. Particularly under the evolving paradigm of Natural User Interface (NUI), gesture ...

Abstract: Synthetic aperture radar (SAR) is extensively utilized in diverse fields, including military defense and resource exploration, due to its all-day, all-weather characteristics. However, the ...

A core argument of Paramount Skydance‘s hostile takeover bid for Warner Bros. Discovery is this: WBD’s cable networks like CNN and TBS are not worth as much as the David Zaslav-led company’s deal with ...

Abstract: Artificial intelligence (AI) developments have revolutionized technologies and methodologies, particularly for malicious uses, especially since the advent of generative adversarial networks ...

Abstract: Deep convolutional neural networks can extract more accurate structural information via deep architectures to obtain good performance in image super-resolution. However, it is not easy to ...

Abstract: Change detection is a crucial task in the field of remote sensing, focusing on identifying areas where significant changes occur between two remote sensing images captured at different time ...