Real-Time Semantic Segmentation
64 papers with code • 5 benchmarks • 10 datasets
Real-time semantic segmentation is the task of achieving computationally efficient semantic segmentation (while maintaining a base level of accuracy).
( Image credit: TorchSeg )
We show that SegNet provides good performance with competitive inference time and more efficient inference memory-wise as compared to other architectures.
The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications.