August 24, 2022: We've released the tech report for YOLOPv2. This work is still in progress and code/models are coming soon. Please stay tuned! ☕️
Introduction
😁We present an excellent multi-task network based on YOLOP💙,which is called YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception.
The advantages of YOLOPv2 can be summaried as below:
Better👏: we proposed the end-to-end perception network which possess better feature extraction backbone, better bag-of-freebies were developed for dealing with the training process.
Faster✈️: we employed more efficient ELAN structures to achieve reasonable memory allocation for our model.
Stronger💪: the proposed model has stable network design and has powerful robustness for adapting to various scenarios .
Results
We used the BDD100K as our datasets,and experiments are run on NVIDIA TESLA V100.
Visualization
model : trained on the BDD100k dataset and test on T3CAIC camera.