Abstract: In recent years, there has been a growing demand for remote sensing image semantic segmentation in various applications. The key to semantic segmentation lies in the ability to globally ...

Abstract: Precise identification of organs and lesions in medical images is essential for accurate disease diagnosis and analysis of organ structures. Deep convolutional neural network (CNN)-based ...

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...

Abstract: Vehicle trajectory prediction is important for automated vehicles to understand driving scenarios. This paper proposes an encoder-decoder network-based parameterized transfer learning ...

Abstract: World Health Organization’s report says that there are more than 466 million individuals worldwide who have hearing impairments, with 72 million of them experiencing deafness. In this paper, ...

Abstract: Recently, CNN and Transformer hybrid networks demonstrated excellent performance in face super-resolution (FSR) tasks. Because of numerous features at different scales in hybrid networks, ...

Abstract: In image segmentation by deep learning, encoder-decoder Convolutional Neural Network (CNN) architectures are fundamental for creating and learning representations. However, with many filters ...

Add Yahoo as a preferred source to see more of our stories on Google. The Trump administration has given Ukraine until Thursday to approve its proposal to end the conflict with Russia or lose U.S.

President Donald Trump on Sunday made numerous false claims about Russia’s ongoing invasion of Ukraine and besieged leader Volodymyr Zelenskyy, with one allegation so easily disproven that CNN ...

Last November, Donald Trump won a return to the White House amid broad national dissatisfaction with the state of the country. A year later CNN exit polling finds voters expressing similar pessimism ...