AI model speeds up high-resolution computer vision | EfficientViT

Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere have developed a more efficient computer vision model that vastly reduces the computational complexity of semantic segmentation. Their model "EfficientViT" can perform semantic segmentation accurately in real-time on a device with limited hardware resources, such as the on-board computers that enable an autonomous vehicle to make split-second decisions.

Credit: MIT News
Credit: MIT HAN Lab

Research Paper: EfficientViT: Lightweight Multi-Scale Attention for
On-Device Semantic Segmentation

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