open-mmlab / mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.
https://mmsegmentation.readthedocs.io/en/main/
Apache License 2.0
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Roadmap of MMSegmentation #13

Open hellock opened 4 years ago

hellock commented 4 years ago

We keep this issue open to collect feature requests from users and hear your voice. Our monthly release plan is also available here.

You can either:

  1. Suggest a new feature by leaving a comment.
  2. Vote for a feature request with 👍 or be against with 👎. (Remember that developers are busy and cannot respond to all feature requests, so vote for your most favorable one!)
  3. Tell us that you would like to help implement one of the features in the list or review the PRs. (This is the greatest things to hear about!)

V0.6 (August)

xvjiarui commented 4 years ago
xvjiarui commented 4 years ago

albumentation in #29

zjupx commented 4 years ago

MobileNet v3 backbone support please!

VincentZ-2020 commented 4 years ago

Add U-net please!

zhongqiu1245 commented 4 years ago

nnU-net support please!

xungeer29 commented 4 years ago

tensorboard support please!

xvjiarui commented 4 years ago

tensorboard support please!

You may uncomment this line to enable tensorboard.

JoyLuo commented 4 years ago

Gans for segment

advaza commented 4 years ago

Is there a way to view segmentation results throughout training (like evaluation hook but with visualisation of possibly unlabelled dataset)? E.g. Tensorboard image writer.

sandylaker commented 4 years ago

UNet, UNet++, and installation on OS X.

johnzja commented 4 years ago

MobileNet v3 backbone support please!

Supporting...

hhaAndroid commented 4 years ago

support EfficientFCN

JoyLuo commented 4 years ago

dice loss, focal loss

caodroid commented 4 years ago

please add Res2net,thank you,

jianlong-yuan commented 4 years ago

please add Panoptic-DeepLab and segfix, thank you

huang45 commented 4 years ago

https://github.com/PingoLH/FCHarDNet please!

huang45 commented 4 years ago

and Bisenetv2, thank you~

Hr-Song commented 4 years ago

Lovasz hinge loss and Lovasz softmax loss suport please, thank you.

ywwwer commented 4 years ago

Multi-scale attention https://github.com/NVIDIA/semantic-segmentation, thank you!

zhongqiu1245 commented 4 years ago

HighRes2DNet(2D version of HighRes3DNet) support please!

zhongqiu1245 commented 4 years ago

support CaNet please,thank you! https://github.com/icoz69/CaNet?utm_source=wechat_session&utm_medium=social&utm_oi=980147122032807936

caodroid commented 4 years ago

hope the Xception will be supported in backbones, thank you https://arxiv.org/pdf/1610.02357.pdf

9p15p commented 4 years ago

support COCO Dataset, please. Thank you.

JPLAY0 commented 4 years ago

Support Mapillary Vistas Dataset ,thank you.

zhongqiu1245 commented 4 years ago

Support Dice Loss, Generalized Dice Loss, Focal Loss & Tversky Loss please! Thank you!

NickChang97 commented 3 years ago

Make it easy to use mixed loss

lucci17 commented 3 years ago

please support for temporal structure

caodroid commented 3 years ago

DenseASPP plz,thank you

JPLAY0 commented 3 years ago

Support CamVid Dataset ,thank you.

jfzhuang commented 3 years ago

Xception backbone support please!

fcakyon commented 3 years ago

@hellock please support VNet and ResUNet

aikeyz commented 3 years ago

EMA/SWA and knowledge distillation please

zhongqiu1245 commented 3 years ago

Hi, thanks for your amazing job! Is there any plan to support Panoptic-DeepLab? Thank you!

hannes09 commented 3 years ago

Hi, great project. I would like to see DDRNet. https://github.com/chenjun2hao/DDRNet.pytorch

tiwaria9034 commented 3 years ago

Thanks for your contributions. Please add EfficientNet family of backbones (v1, v2, tflite, etc.)

Junjun2016 commented 3 years ago

Thanks for your contributions. Please add EfficientNet family of backbones (v1, v2, tflite, etc.)

Could you please provide some references?

tiwaria9034 commented 3 years ago

Thanks for your contributions. Please add EfficientNet family of backbones (v1, v2, tflite, etc.)

Could you please provide some references?

EfficientNet (v1):

EfficientNet (v2):

eugenelawrence commented 3 years ago

MaskFormer

eliabruni commented 2 years ago

Hi, great project. I would like to see Mask2Former

litaws commented 2 years ago

Add support for Un/Semi-Supervised Loss (-or- partially unlabeled data)

edit: moved into a separate issue #1147

wmkai commented 2 years ago

Hi, thanks for your great job! Is there any plan to support Mask2Former? Thank you!

jyang68sh commented 2 years ago

Please update PIDnet as it is the new sota

AndreaPi commented 2 years ago

Add 3D image segmentation capabilities #2010 In particular, I would propose to implement the following models:

https://arxiv.org/abs/1606.06650 https://arxiv.org/abs/1804.02967 https://arxiv.org/abs/1810.11654 https://arxiv.org/abs/1904.00625

These and other models are implemented here: https://github.com/black0017/MedicalZooPytorch

FabianSchuetze commented 2 years ago

Could we add SegNext?

Code: https://github.com/visual-attention-network/segnext paper: https://arxiv.org/abs/2209.08575

The code already uses mmsegmentation.

joihn commented 2 years ago

Thanks for this repo, Any plan to support RtFormer ? https://arxiv.org/abs/2210.07124