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Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

active 2023-09-232025-11-12 (UTC)

Complete coverage26,426 / 26,426 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
31
Pushes
0
Pull requests
0
Issues
3
Stars
24
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 782 days from 2023-09-23 to 2025-11-12. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 3 total, peak 2 in a day. Stars: 24 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
lsm1402002
Dingerscat1000
johnson-magic1000
PanffeeReal1000
llelio2721001

Recent activity

Latest issues, pull requests and releases

  • Issue#32johnson-magic2024-11-26 09:18
    regression_target分布统计问题?
  • Issue comment#19llelio2722024-05-21 07:15
    ImportError: cannot import name 'force_fp32' from 'mmcv.runner'
  • Issue#42PanffeeReal2024-04-17 08:18
    Where does the quality_focal_loss function in gfocal_loss.py call the weight_reduce_loss function ?
  • Issue#41Dingerscat2024-03-05 03:06
    如何才能从mmdet里拿出来啊,看源码嵌套的太深了 &_&
  • Issue comment#5lsm1402024-01-29 09:27
    关于训练
  • Issue comment#5lsm1402024-01-29 07:59
    关于训练

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 24 stars here means stars gained during the window, not the repo's star count.