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《IEEE TNNLS》RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations

active 2023-09-132025-12-31 (UTC)

Complete coverage26,487 / 26,487 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
34
Pushes
3
Pull requests
0
Issues
3
Stars
21
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 841 days from 2023-09-13 to 2025-12-31. Pushes: 3 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 5 total, peak 1 in a day. Stars: 21 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
superYuezhang5302
WYQ03742001
hello-jo1001
yqwang03711000
9167182121000
baitianyu-kun1001

Recent activity

Latest issues, pull requests and releases

  • Issue#3yqwang03712024-07-22 14:05
    Consultation on training techniques
  • Issue comment#2WYQ03742024-07-08 07:02
    How to run code to achieve registration accuracy consistent with the paper
  • Issue comment#2superYuezhang2024-07-07 13:41
    How to run code to achieve registration accuracy consistent with the paper
  • Issue#2WYQ03742024-07-05 13:58
    How to run code to achieve registration accuracy consistent with the paper
  • Issue comment#1hello-jo2024-05-09 12:26
    How to use the trained model for visual testing?
  • Issue comment#1baitianyu-kun2023-11-14 06:23
    How to use the trained model for visual testing?
  • Issue comment#1superYuezhang2023-10-09 09:08
    How to use the trained model for visual testing?
  • Issue#19167182122023-10-08 13:43
    How to use the trained model for visual testing?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 21 stars here means stars gained during the window, not the repo's star count.