BSSNet Real-Time Road Scene Semantic Segmentation
Real-time semantic segmentation network for road scenes inspired by autoencoder structures.
BSSNet is a real-time semantic segmentation network for road scenes inspired by autoencoder structures. The project focuses on the trade-off among segmentation accuracy, inference speed, and model complexity for practical road-scene understanding.
The related paper, “BSSNet: A Real-Time Semantic Segmentation Network for Road Scenes Inspired from AutoEncoder”, was published in IEEE Transactions on Circuits and Systems for Video Technology.