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Modification:
From

@inproceedings{annn,
  author    = {Zhen Zhu and
               Mengde Xu and
               Song Bai and
               Tengteng Huang and
               Xiang Bai},
  title     = {Asymmetric Non-local Neural Networks for Semantic Segmentation},
  booktitle={International Conference on Computer Vision},
  year      = {2019},
  url       = {http://arxiv.org/abs/1908.07678},
}

to

@inproceedings{zhu2019asymmetric,
  title={Asymmetric non-local neural networks for semantic segmentation},
  author={Zhu, Zhen and Xu, Mengde and Bai, Song and Huang, Tengteng and Bai, Xiang},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={593--602},
  year={2019}
}

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codecov bot commented Aug 6, 2021

Codecov Report

Merging #759 (b93eadb) into master (6394679) will not change coverage.
The diff coverage is n/a.

❗ Current head b93eadb differs from pull request most recent head 71ad006. Consider uploading reports for the commit 71ad006 to get more accurate results
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@@           Coverage Diff           @@
##           master     #759   +/-   ##
=======================================
  Coverage   85.37%   85.37%           
=======================================
  Files         107      107           
  Lines        5847     5847           
  Branches      960      960           
=======================================
  Hits         4992     4992           
  Misses        673      673           
  Partials      182      182           
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@Junjun2016 Junjun2016 left a comment

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LGTM

@Junjun2016 Junjun2016 merged commit 268bd8d into open-mmlab:master Aug 9, 2021
@MengzhangLI MengzhangLI deleted the ANNcitation branch February 1, 2022 03:15
bowenroom pushed a commit to bowenroom/mmsegmentation that referenced this pull request Feb 25, 2022
aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this pull request Mar 27, 2023
…n-mmlab#781)

[textual_inversion] Add an option to only save embeddings

Add an command line option --only_save_embeds to the example script, for
not saving the full model. Then only the learned embeddings are saved,
which can be added to the original model at runtime in a similar way as
they are created in the training script.
Saving the full model is forced when --push_to_hub is used. (Implements open-mmlab#759)
michaelzhang-ai pushed a commit to michaelzhang-ai/mmsegmentation that referenced this pull request Mar 22, 2024
* first tsm cn config

* template

* tin c3d

* csn

* i3d

* r31d

* slowonly slowfast

* not full tanet

* ssn bsn

* half bmn

* bmn bsn

* polish
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2 participants