ENet is a semantic segmentation architecture which utilises a compact encoder-decoder architecture. Some design choices include:
Paper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
Semantic Segmentation | 12 | 26.09% |
Autonomous Driving | 5 | 10.87% |
Quantization | 2 | 4.35% |
Autonomous Vehicles | 2 | 4.35% |
Real-Time Semantic Segmentation | 2 | 4.35% |
Instance Segmentation | 2 | 4.35% |
Scene Understanding | 2 | 4.35% |
Optical Character Recognition (OCR) | 1 | 2.17% |
Multi-Task Learning | 1 | 2.17% |