[Docs] Refine docs

[Tau-J]

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Checklist

Before PR:

• I have read and followed the workflow indicated in the CONTRIBUTING.md to create this PR.
• Pre-commit or linting tools indicated in CONTRIBUTING.md are used to fix the potential lint issues.
• Bug fixes are covered by unit tests, the case that causes the bug should be added in the unit tests.
• New functionalities are covered by complete unit tests. If not, please add more unit tests to ensure correctness.
• The documentation has been modified accordingly, including docstring or example tutorials.

After PR:

• CLA has been signed and all committers have signed the CLA in this PR.

[codecov]

Codecov Report

Base: 78.69% // Head: 77.78% // Decreases project coverage by -0.91% ⚠️

Coverage data is based on head (29dff81) compared to base (fc7f090).
Patch coverage: 13.46% of modified lines in pull request are covered.

❗ Current head 29dff81 differs from pull request most recent head 0e67d65. Consider uploading reports for the commit 0e67d65 to get more accurate results

Additional details and impacted files

@@             Coverage Diff             @@
##           dev-1.x    #1656      +/-   ##
===========================================
- Coverage    78.69%   77.78%   -0.92%     
===========================================
  Files          203      204       +1     
  Lines        11575    11712     +137     
  Branches      2022     2050      +28     
===========================================
+ Hits          9109     9110       +1     
- Misses        2072     2206     +134     
- Partials       394      396       +2     

Flag	Coverage Δ
unittests	77.78% <13.46%> (-0.92%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
mmpose/models/heads/heatmap_heads/mix_head.py	0.00% <0.00%> (ø)
mmpose/models/heads/regression_heads/dsnt_head.py	86.48% <ø> (ø)
mmpose/models/losses/classification_loss.py	76.71% <ø> (ø)
mmpose/models/losses/loss_wrappers.py	100.00% <ø> (ø)
mmpose/models/heads/heatmap_heads/simcc_head.py	72.97% <45.45%> (-2.27%)	⬇️
mmpose/codecs/simcc_label.py	80.64% <94.11%> (-0.04%)	⬇️
mmpose/codecs/utils/refinement.py	97.05% <0.00%> (-1.48%)	⬇️
mmpose/datasets/transforms/common_transforms.py	83.19% <0.00%> (-0.57%)	⬇️

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[ly015]

What about using the default value infinite?

[Tau-J]

I think end=train_cfg['max_epochs'] is more intuitive for users to understand

[ly015]

Suggested change

	@InProceedings{10.1007/978-3-030-01231-1_33,
	author={Sun, Xiao and Xiao, Bin and Wei, Fangyin and Liang, Shuang and Wei, Yichen},
	title={Integral Human Pose Regression},
	booktitle="Computer Vision -- ECCV 2018",
	year="2018",
	pages="536--553",
	@inproceedings{sun2018integral,
	title={Integral human pose regression},
	author={Sun, Xiao and Xiao, Bin and Wei, Fangyin and Liang, Shuang and Wei, Yichen},
	booktitle={Proceedings of the European conference on computer vision (ECCV)},
	pages={529--545},
	year={2018}
	}

[ly015]

And may also need to update the citation in the .md files under configs/