Tootfinder

👾 Unsupervised Instance Segmentation with Superpixels
#cs #arxiv

Unsupervised Instance Segmentation with Superpixels
Instance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect. For this reason, we present a new framework that efficiently and effectively segments objects without the need for human annotations. Firstly, a MultiCut algorithm is applied to self-sup…

⛐ Bridging Vision, Language, and Mathematics: Pictographic Character Reconstruction with Bézier Curves
#cs

Bridging Vision, Language, and Mathematics: Pictographic Character Reconstruction with Bézier Curves
While Vision-language Models (VLMs) have demonstrated strong semantic capabilities, their ability to interpret the underlying geometric structure of visual information is less explored. Pictographic characters, which combine visual form with symbolic structure, provide an ideal test case for this capability. We formulate this visual recognition challenge in the mathematical domain, where each character is represented by an executable program of geometric primitives. This is framed as a program …

💔 Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
#computing

Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
Foundation Models (FMs) have shown impressive performance on various text and image processing tasks. They can generalize across domains and datasets in a zero-shot setting. This could make them suitable for automated quality inspection during series manufacturing, where various types of images are being evaluated for many different products. Replacing tedious labeling tasks with a simple text prompt to describe anomalies and utilizing the same models across many products would save significant…

🔎 'Google for DNA' enables rapid full-text searches of vast genetic archives
#cs

'Google for DNA' enables rapid full-text searches of vast genetic archives
Rare hereditary diseases can be identified in patients and specific mutations in tumor cells detected—DNA sequencing revolutionized biomedical research decades ago. In recent years, new sequencing methods (next-generation sequencing) in particular have resulted in numerous scientific breakthroughs. In 2020/2021, for example, they enabled the rapid decoding and global monitoring of the SARS-CoV-2 genome.

AI: use "minimal utility CS classes" like one class to set padding right, another for margin top, one more for height,...
Me:
(ofc this styling approach didn't start with AI)
#webdev #CSS #AI #LLM #sarcasm #opinion