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Abstract: Change detection has become a crucial topic in the field of remote sensing deep learning due to its extensive application in earth observation. However, real remote sensing images often ...

For the past two years, enterprises evaluating open-weight models have faced an awkward trade-off. Google's Gemma line consistently delivered strong performance, but its custom license — with usage ...

In this post, we share the motivations, design choices, experiments, and learnings that informed its development, as well as an evaluation of the model’s performance and guidance on how to use it. Our ...

When you're trying to combine scores from different reranking models, you run into a fundamental problem: a Cross-Encoder might output 0.73 while an LLM reranker spits out -2.31. You can't just ...

Automatic segmentation of anatomical structures (such as organs) and lesion regions in medical images has become a critical task in medical image analysis and is widely used in clinical diagnosis and ...

However, due to the need to stabilize and retrieve the relative phase between the time-bins, time-bin encoding usually requires the stabilization of local interferometers. Implementations are ...

1 School of Mathematical Sciences, Guizhou Normal University, Guiyang, China. 2 School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China. With the rapid development of deep ...