Update information about Localization Distillation

[HikariTJU]

Motivation

Our paper (Localization Distillation for Dense Object Detection) has been accepted, so some info about it might need to be updated.

Modification

Some readme file

Checklist

1. Pre-commit or other linting tools are used to fix the potential lint issues.
2. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
3. If the modification has potential influence on downstream projects, this PR should be tested with downstream projects, like MMDet or MMCls.
4. The documentation has been modified accordingly, like docstring or example tutorials.

[codecov]

Codecov Report

Merging #7350 (004fd4d) into master (b9fe216) will increase coverage by 0.02%.
The diff coverage is n/a.

❗ Current head 004fd4d differs from pull request most recent head 67f9feb. Consider uploading reports for the commit 67f9feb to get more accurate results

@@            Coverage Diff             @@
##           master    #7350      +/-   ##
==========================================
+ Coverage   63.40%   63.43%   +0.02%     
==========================================
  Files         340      340              
  Lines       27493    27493              
  Branches     4645     4645              
==========================================
+ Hits        17433    17439       +6     
+ Misses       9132     9129       -3     
+ Partials      928      925       -3     

Flag	Coverage Δ
unittests	63.40% <ø> (+0.01%)	⬆️

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

Impacted Files	Coverage Δ
mmdet/core/bbox/assigners/max_iou_assigner.py	72.36% <0.00%> (-1.32%)	⬇️
mmdet/models/roi_heads/mask_heads/maskiou_head.py	89.65% <0.00%> (+2.29%)	⬆️
mmdet/core/post_processing/bbox_nms.py	79.10% <0.00%> (+4.47%)	⬆️
mmdet/core/bbox/samplers/random_sampler.py	80.55% <0.00%> (+5.55%)	⬆️

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