4 results for “topic:visual-attributes”
Table-based network visualizer
PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
VisualPropertiesExtractor is a comprehensive utility for extracting size, shape, color, and texture features from segmented RGB images. It supports time-based grouping, pixel-to-metric calibration, and structured export - ideal for scientific imaging, quality monitoring, and computer vision workflows.
Visualization that represents datapoints and encodes as many of the seven dimensions in a given dataset as possible for Scientific Visualization and Virtual Reality course. Grade: 9/10.