## Changelog


### V0.6 (10/09/2020)
**Highlights**
- Support new methods i.e. MobileNetV2, EMANet, DNL, PointRend, Semantic FPN, Fast-SCNN,
ResNeSt.

**Bug Fixes**
- Fixed sliding inference ONNX export ([#90](https://github.com/open-mmlab/mmsegmentation/pull/90))

**New Features**
- Support MobileNet v2 ([#86](https://github.com/open-mmlab/mmsegmentation/pull/86))
- Support EMANet ([#34](https://github.com/open-mmlab/mmsegmentation/pull/34))
- Support DNL ([#37](https://github.com/open-mmlab/mmsegmentation/pull/37))
- Support PointRend ([#109](https://github.com/open-mmlab/mmsegmentation/pull/109))
- Support Semantic FPN ([#94](https://github.com/open-mmlab/mmsegmentation/pull/94))
- Support Fast-SCNN ([#58](https://github.com/open-mmlab/mmsegmentation/pull/58))
- Support ResNeSt backbone ([#47](https://github.com/open-mmlab/mmsegmentation/pull/47))
- Support ONNX export (experimental) ([#12](https://github.com/open-mmlab/mmsegmentation/pull/12))

**Improvements**
- Support Upsample in ONNX ([#100](https://github.com/open-mmlab/mmsegmentation/pull/100))
- Support Windows install (experimental) ([#75](https://github.com/open-mmlab/mmsegmentation/pull/75))
- Add more OCRNet results ([#20](https://github.com/open-mmlab/mmsegmentation/pull/20))
- Add PyTorch 1.6 CI ([#64](https://github.com/open-mmlab/mmsegmentation/pull/64))
- Get version and githash automatically ([#55](https://github.com/open-mmlab/mmsegmentation/pull/55))

### v0.5.1 (11/08/2020)
**Highlights**
- Support FP16 and more generalized OHEM
**Bug Fixes**
- Fixed Pascal VOC conversion script (#19)
- Fixed OHEM weight assign bug (#54)
- Fixed palette type when palette is not given (#27)
**New Features**
- Support FP16 (#21)
- Generalized OHEM (#54)
**Improvements**
- Add load-from flag (#33)
- Fixed training tricks doc about different learning rates of model (#26)