Skip to content

CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching(CVPR2021)

active 2023-08-312025-08-02 (UTC)

Complete coverage26,733 / 26,733 hourly files (100%) · 2 absent upstream2023-08-152026-09-01 (UTC)
Events
63
Pushes
2
Pull requests
0
Issues
3
Stars
40
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 703 days from 2023-08-31 to 2025-08-02. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 15 total, peak 4 in a day. Stars: 40 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
gallenszl8206
flyxuexi5004
asd96972001
august7791882002
wgqt1zl1001
sleepat-111001
KevinWTong1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#40gallenszl2024-07-31 10:18
    作者您好,谢谢你做的工作,我想请问一下为什么只在第二轮训练时使用mish激活函数,第一轮为什么还是relu呢?
  • Issue comment#40asd96972024-07-31 07:32
    作者您好,谢谢你做的工作,我想请问一下为什么只在第二轮训练时使用mish激活函数,第一轮为什么还是relu呢?
  • Issue comment#40gallenszl2024-07-30 13:12
    作者您好,谢谢你做的工作,我想请问一下为什么只在第二轮训练时使用mish激活函数,第一轮为什么还是relu呢?
  • Issue#40asd96972024-07-30 02:04
    作者您好,谢谢你做的工作,我想请问一下为什么只在第二轮训练时使用mish激活函数,第一轮为什么还是relu呢?
  • Issue comment#39flyxuexi2024-07-12 01:32
    前辈,用您提供的微调后的模型,得到的视差图非常模糊,可能是什么原因呢?
  • Issue comment#39flyxuexi2024-06-30 12:37
    前辈,用您提供的微调后的模型,得到的视差图非常模糊,可能是什么原因呢?
  • Issue comment#39gallenszl2024-06-27 03:18
    前辈,用您提供的微调后的模型,得到的视差图非常模糊,可能是什么原因呢?
  • Issue comment#39flyxuexi2024-06-26 08:16
    前辈,用您提供的微调后的模型,得到的视差图非常模糊,可能是什么原因呢?
  • Issue comment#39gallenszl2024-06-26 07:04
    前辈,用您提供的微调后的模型,得到的视差图非常模糊,可能是什么原因呢?
  • Issue comment#39flyxuexi2024-06-26 03:18
    前辈,用您提供的微调后的模型,得到的视差图非常模糊,可能是什么原因呢?
  • Issue comment#39gallenszl2024-06-26 03:10
    前辈,用您提供的微调后的模型,得到的视差图非常模糊,可能是什么原因呢?
  • Issue#39flyxuexi2024-06-26 02:57
    前辈,用您提供的微调后的模型,得到的视差图非常模糊,可能是什么原因呢?
  • Issue comment#27august7791882024-02-29 09:50
    how to obtain the same performance as the given pretrained model
  • Issue comment#36sleepat-112024-02-19 08:24
    model training
  • Issue comment#21august7791882023-12-19 03:28
    Gamma, Beta in the model weight
  • Issue comment#38gallenszl2023-11-13 03:32
    Middlebury 数据集求指教
  • Issue#38KevinWTong2023-11-10 09:36
    Middlebury 数据集求指教
  • Issue comment#17wgqt1zl2023-10-01 11:57
    Weird warping results from pre-trained model disparity map

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 40 stars here means stars gained during the window, not the repo's star count.