Efficient CNN-Transformer Accelerator for Semantic Segmentation
Published:Dec 19, 2025 13:24
•1 min read
•ArXiv
Analysis
This research focuses on optimizing hardware for computationally intensive AI tasks like semantic segmentation. The paper's contribution lies in designing a memory-compute-intensity-aware accelerator with innovative techniques like hybrid attention and cascaded pruning.
Key Takeaways
Reference
“A 28nm 0.22 μJ/token memory-compute-intensity-aware CNN-Transformer accelerator is presented.”