Abstract: Compared with remote sensing image (RSI) captioning methods based on the traditional encoder–decoder model, two-stage RSI captioning methods include an auxiliary remote sensing task to ...

We are accepting requests for features that will be implemented between v0.9.0 and v.1.0.0. If you have the API you need, please submit your issue here. go-json-fuzz is the repository for fuzzing ...

Since its breakthrough in 2017 with the “Attention Is All You Need” paper, the Transformer model has redefined natural language processing. At its core lie two specialized components: the encoder and ...

Quantum computers can potentially be used to solve computational problems that are out of reach of classical computers. However, to achieve this, quantum computing architectures need to deal with the ...

Introduction: Manual tumor segmentation for personalized dosimetry is labor-intensive and subjected to inter-operator variations. Deep learning (DL) models like nnU-Net, developed for automatic ...

Abstract: LFSR based PN Sequence Generator technique is used for various cryptography applications and for designing encoder, decoder in different communication channel. It is more important to test ...

Large language models like GPT-4 and tools like GitHub Copilot can make good programmers more efficient and bad programmers more dangerous. Are you ready to dive in? When I wrote about GitHub Copilot ...

Generative AI has become the buzzword of 2023. Whether text-generating ChatGPT or image-generating Midjourney, generative AI tools have significantly impacted businesses and dominated the content ...

The high complexity of the human brain inherently underpins the incredible variety of cognitive, motor, and sensory functions. Measuring such complexity may help define a comprehensive feature able to ...

Image reconstruction using minimal measured information has been a long-standing open problem in many computational imaging approaches, in particular in-line holography. Many solutions are devised ...