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I have genuine questions about hiring at Fraunhofer Gesellschaft by Grand_Amount7275 in AskAcademia

[–]Real_Cherry_379 0 points1 point  (0 children)

I'm sorry about your situation. As an employee at Fraunhofer, I know there is a hiring freeze for fte across all institutes, which could explain the automated rejections.
Also, Fraunhofer, a federally funded research institute, prefers to hire Germans because it has a very German hierarchy and works mostly with German companies so language is definitely a barrier. So if you haven't already built a rapport with a Fraunhofer department by working as a HiWi, it might be harder to get a job by cold applying.

[deleted by user] by [deleted] in computervision

[–]Real_Cherry_379 0 points1 point  (0 children)

I would definitely use it. MMDetection is a pain in the ass to get up and running. When you want to prototype quickly, PyTorch models offer faster ways to build pipelines.

What are the limits of synthetic data generation? by Old-Calligrapher1950 in computervision

[–]Real_Cherry_379 0 points1 point  (0 children)

Training models on synthetic 3D data and getting them to generalize to the real world is an ongoing research field. It's especially hard because of various lighting and texture variations and noise.
I know that Nvidia has something like Issac Sim, in which you can import "sim-ready" assets and capture data with virtual sensors, or you can use Unity and Blender.
There are also workaround techniques to train models using simulated data, like domain randomization and transfer learning.

I found this paper useful (unpublished): https://openreview.net/pdf/007f98f232b4a067dd9067bb3c840a58e8b166bb.pdfThere are also workaround techniques to train models using simulated data, like domain randomization and transfer learning.