Hierarchical Neural Networks
July 15, 2016
The German Traffic Sign Benchmark actually has the signs divided into groups: speed limits, danger signs, and so on. It turns out that humans make far fewer errors between groups than within groups. They might mistake a 30kph speed limit sign for an 80kph sign, but very rarely for a stop sign. The errors CNNs make are much less structured and are pretty much all over the place, so there is clearly room for improvement. How can we teach CNNs to be more like humans?
To read the full article, click here
Related Blogs
- Embedded Vision: The Road Ahead for Neural Networks and Five Likely Surprises
- Push-button generation of deep neural networks
- Deployable Artificial Neural Networks Will Change Everything
- Neural Networks and the Future
Latest Blogs
- Analog Design and Layout Migration automation in the AI era
- UWB, Digital Keys, and the Quest for Greater Range
- Building Smarter, Faster: How Arm Compute Subsystems Accelerate the Future of Chip Design
- MIPS P8700 RISC-V Processor for Advanced Functional Safety Systems
- Boost SoC Flexibility: 4 Design Tips for Memory Subsystems with Combo DDR3/4 Interfaces