@@ -24,6 +24,7 @@ More code and models will be released soon. Stay tuned.
-**State-of-the-art performance:** Our best single model based on ResNet-101 and deformable convolutions achieves **41.7%** in AP on COCO test-dev (without multi-scale testing). A light-weight version of SOLOv2 executes at **31.3** FPS on a single V100 GPU and yields **37.1%** AP.
## Updates
- SOLOv2 implemented on detectron2 is released at [adet](https://github.com/aim-uofa/AdelaiDet/blob/master/configs/SOLOv2/README.md). (07/12/20)
- Training speeds up (~1.7x faster) for all models. (03/12/20)
- SOLOv2 is available. Code and trained models of SOLOv2 are released. (08/07/2020)
- Light-weight models and R101-based models are available. (31/03/2020)
