Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...

Forbes contributors publish independent expert analyses and insights. Brian Delp is NY-based, covering retail, fashion, and home products. Rather than moving through clearly defined life stages, ...

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...

This repository is the code implementation of the paper RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model, which is based on the MMDetection ...

Semantic segmentation is a core task in computer vision, essential for applications requiring detailed scene understanding, such as medical imaging, precision agriculture, and remote sensing. Recent ...

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Marketers have long relied on simple demographic categories, including age, gender, income and region, to build segments and classifications. It’s convenient, easily understood and readily available ...

While running this example in Torch-TensorRT with 2.9.0 nightly branch, we get a segmentation fault. https://github.com/pytorch/TensorRT/tree/main/examples/torchtrt ...

The two abbreviations directly represent Latin words that translate to “for example” and “that is.” However, Merriam-Webster’s dictionary noted that describing the phrases as “example given” and “in ...