Expand description
Segformer model implementation for semantic segmentation and image classification.
Segformer is a transformer-based model designed for vision tasks. It uses a hierarchical structure that progressively generates features at different scales.
Key characteristics:
- Efficient self-attention with sequence reduction
- Hierarchical feature generation
- Mix-FFN for local and global feature interaction
- Lightweight all-MLP decode head
References: