RetinaMask
RetinaMask
**RetinaMask** is a one-stage object detection method that improves upon [RetinaNet](https://paperswithcode.com/method/retinanet) by adding the task of instance mask prediction during training, as well as an [adaptive loss](https://paperswithcode.com/method/adaptive-loss) that improves robustness to parameter choice during training, and including more difficult examples in training.
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
https://paperswithcode.com/paper/retinamask-learning-to-predict-masks-improves
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free