Darknet-53 is a convolutional neural network that acts as a backbone for the YOLOv3 object detection approach. The improvements upon its predecessor Darknet-19 include the use of residual connections, as well as more layers.
Source: YOLOv3: An Incremental ImprovementPaper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
Object Detection | 155 | 32.49% |
Real-Time Object Detection | 23 | 4.82% |
Autonomous Driving | 18 | 3.77% |
Semantic Segmentation | 14 | 2.94% |
Classification | 10 | 2.10% |
Image Classification | 10 | 2.10% |
Instance Segmentation | 8 | 1.68% |
Object Tracking | 8 | 1.68% |
2D Object Detection | 8 | 1.68% |