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Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation (NeurIPS 2022)

active 2023-08-162026-01-16 (UTC)

Complete coverage26,655 / 26,655 hourly files (100%) · 2 absent upstream2023-08-152026-08-29 (UTC)
Events
76
Pushes
10
Pull requests
0
Issues
12
Stars
37
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 885 days from 2023-08-16 to 2026-01-16. Pushes: 10 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 12 total, peak 2 in a day. Comments: 16 total, peak 4 in a day. Stars: 37 total, peak 2 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
gaobb251009
jinse-zyy3002
WeiX9982001
ZhiXianZ1000
52hzsb1001
lixi921000
stwerner971000
dashenfeng1001
lisaoottb-debug1001
EGO-False-Sleep1001
NielsRogge1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#8lisaoottb-debug2026-01-16 03:12
    If you want to communicate further, please join our WeChat group about few-shot object detection.
  • Issue#9NielsRogge2025-05-21 12:05
    Release DCFS checkpoints on Hugging Face
  • Issue comment#8gaobb2025-03-09 08:48
    If you want to communicate further, please join our WeChat group about few-shot object detection.
  • Issue comment#8EGO-False-Sleep2025-03-09 05:22
    If you want to communicate further, please join our WeChat group about few-shot object detection.
  • Issue comment#8gaobb2025-01-07 02:59
    If you want to communicate further, please join our WeChat group about few-shot object detection.
  • Issue comment#8gaobb2024-06-04 02:40
    If you want to communicate further, please join our WeChat group about few-shot object detection.
  • Issue comment#8dashenfeng2024-06-03 23:54
    If you want to communicate further, please join our WeChat group about few-shot object detection.
  • Issue#8gaobb2024-05-24 02:51
    If you want to communicate further, please join our WeChat group about few-shot object detection.
  • Issue#7gaobb2024-04-06 02:46
    关于dcloss中的fs_class
  • Issue comment#7WeiX9982024-04-02 15:09
    关于dcloss中的fs_class
  • Issue comment#7gaobb2024-04-02 14:00
    关于dcloss中的fs_class
  • Issue#7WeiX9982024-04-02 13:34
    关于dcloss中的fs_class
  • Issue#5gaobb2024-03-16 03:41
    Could you publish the training log for 'Novel Fine-tuning'?
  • Issue#6lixi922023-12-04 05:45
    脚本文件里好像有错,可以确认下吗?
  • Issue comment#5gaobb2023-11-13 02:05
    Could you publish the training log for 'Novel Fine-tuning'?
  • Issue#5ZhiXianZ2023-11-12 02:20
    Could you publish the training log for 'Novel Fine-tuning'?
  • Issue comment#1gaobb2023-10-20 09:36
    Small sample test whether the weight of detection training can be shared
  • Issue#1gaobb2023-10-20 09:36
    Small sample test whether the weight of detection training can be shared
  • Issue#4gaobb2023-10-20 09:35
    Could you publish the trained weights?
  • Issue comment#4gaobb2023-10-20 09:35
    Could you publish the trained weights?
  • Issue#4stwerner972023-09-18 15:16
    Could you publish the trained weights?
  • Issue#3gaobb2023-09-12 08:47
    configs/coco/dcfs_FSIS_r101_novel_shot_seedx.yaml.
  • Issue comment#3jinse-zyy2023-09-12 08:34
    configs/coco/dcfs_FSIS_r101_novel_shot_seedx.yaml.
  • Issue comment#3gaobb2023-09-12 08:19
    configs/coco/dcfs_FSIS_r101_novel_shot_seedx.yaml.
  • Issue comment#3jinse-zyy2023-09-12 07:49
    configs/coco/dcfs_FSIS_r101_novel_shot_seedx.yaml.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 37 stars here means stars gained during the window, not the repo's star count.