Ryanair has adjusted frequencies across its network in the former Yugoslavia for the 2026 summer season, which begins on ...
Abstract: With recent advances in artificial intelligence, deep learning networks with various structures are being applied to target detection. However, in the infrared small target detection (IRSTD) ...
A research team at the University of Ottawa has developed an advanced artificial intelligence system designed to autonomously ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.
HAFNet is an improved U-Net architecture from two aspects: feature extraction backbone and skip connections, aiming to enhance detection ability and generalization performance. ├───dataset/ │ ├── NUAA ...
ABSTRACT: Small-drone technology has opened a range of new applications for aerial transportation. These drones leverage the Internet of Things (IoT) to offer cross-location services for navigation.
Abstract: This paper proposes a novel hierarchical feature attention learning network for improved fine-grained visual classification (FGVC). Existing fine-grained classification methods rely heavily ...
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