Abstract: Large vision-language models revolutionized image classification and semantic segmentation paradigms. However, they typically assume a pre-defined set of categories, or vocabulary, at test ...

We release COCO-Videos, a new dataset for instance and panoptic segmentation which follows the COCO labeling format. We also rely on semantic-level labels in the KITTI-STEP dataset for evaluation on ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Abstract: Open-vocabulary remote sensing (RS) semantic segmentation strives to assign both seen and unseen class labels to individual pixels in RS images. Existing models follow the “fine-tune” ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

Hi authors. Thank you for the amazing work. Is there a python script for visualizing the point cloud semantic segmentation result? After training the model on SemanticKITTI or nuScenes dataset, the ...