NVIDIA DRIVE Labs Ep. 28: Enhancing AI Segmentatio…

Precise environmental perception is critical for #autonomousvehicle (AV) safety, especially when handling unseen conditions. In this episode of DRIVE Labs, we discuss a Vision Transformer model called SegFormer, which generates robust semantic segmentation while maintaining high efficiency. This video introduces the mechanism behind SegFormer that enables its robustness and efficiency.

00:00:00 – Robust Perception with SegFormer
00:00:05 – Why accuracy and robustness are important for developlng autonomous vehicles
00:00:15 – What is SegFormer?
00:00:28 – The difference between CNN and Transformer Models
00:01:23 – Testing semantic segmentation results on MB’s Cityscapes Dataset
00:02:09 – The impact of JPEG compression on SegFormer
00:02:27 – How SegFormer understands unseen conditions
00:02:41 – Learn more about segmentation for autonomous vehicle use cases

GitHub: https://github.com/NVlabs/SegFormer
Read more: https://arxiv.org/abs/2105.15203
Watch the full series here: https://nvda.ws/3lHQP7H
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