[Docs] Refine docs

[Tau-J]

Motivation

Modification

BC-breaking (Optional)

Use cases (Optional)

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[bot]]

Codecov Report

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

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

:exclamation: 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%)	:arrow_down:

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%)	:arrow_down:
mmpose/codecs/simcc_label.py	80.64% <94.11%> (-0.04%)	:arrow_down:
mmpose/codecs/utils/refinement.py	97.05% <0.00%> (-1.48%)	:arrow_down:
mmpose/datasets/transforms/common_transforms.py	83.19% <0.00%> (-0.57%)	:arrow_down:

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