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Codes for “A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection”

active 2023-09-172025-12-18 (UTC)

Complete coverage26,385 / 26,385 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
28
Pushes
1
Pull requests
0
Issues
2
Stars
19
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 824 days from 2023-09-17 to 2025-12-18. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 4 total, peak 1 in a day. Stars: 19 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
zzjdsy3002
liumency1100
cxh10281001
mpapadomanolaki1001
fengfeng-xie1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#1zzjdsy2024-12-19 05:10
    请问可以提供完整的训练代码吗
  • Issue comment#6zzjdsy2024-12-14 09:51
    精度
  • Issue#11zzjdsy2024-12-13 12:08
    请问一下:为什么该变化检测代码中运用SYSU数据集进行模型训练出来的IoU、Precision、Recall值与文献中的差别较大?
  • Issue#10fengfeng-xie2024-12-03 08:09
    ValueError: operands could not be broadcast together with shapes (5,256,256) (5,64,256,256)
  • Issue comment#9mpapadomanolaki2024-05-27 09:49
    predict result
  • Issue comment#9cxh10282024-05-20 12:40
    predict result

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 19 stars here means stars gained during the window, not the repo's star count.