CCF A类会议 —— CVPR 2022 论文审稿模板



=============================================
Edit Review
Thank you for accepting to serve as a reviewer for CVPR 2022!
Reviews are due by January 14, 2022. Important reviewer information:
Reviewer guidelines Reviewer tutorial slides Reviewer tutorial video
Notes:
(1) Reviewer questions marked with * are mandatory.
(2) Reviewer questions 14 and 15 are currently disabled and do not need to be completed for now. They will only be enabled after the author rebuttal.
(3) The authors' responses to the submission form are accessible by clicking on the paper ID in the reviewer console.
Paper ID
xxxxxxxxx
Paper Title
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
REVIEW QUESTIONS
1. By taking this review assignment and checking on "I agree" below, I acknowledge that I have read and understood the reviewer guidelines. * (visible to meta-reviewers)
I agree
2. Summary. In 5-7 sentences, describe the key ideas, experimental or theoretical results, and their significance. *
(visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
3. Strengths. Consider the significance of key ideas, experimental or theoretical validation, writing quality, data contribution. Explain clearly why these aspects of the paper are valuable. Short bullet lists do NOT suffice. * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
4. Weaknesses. Consider the significance of key ideas, experimental or theoretical validation, writing quality, data contribution. Clearly explain why these are weak aspects of the paper, e.g. why a specific prior work has already demonstrated the key contributions, or why the experiments are insufficient to validate the claims, etc. Short bullet lists do NOT suffice. * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
5. Paper rating (pre-rebuttal). * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
Strong Accept
Weak Accept
Borderline
Weak Reject
Strong Reject
6. Recommendation confidence. * (visible to other reviewers, visible to meta-reviewers)
Very Confident
Somewhat Confident
Not Confident
7. Justification of rating. What are the most important factors in your rating? * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
8. Are there any serious ethical/privacy/transparency/fairness concerns? If yes, please also discuss below in Question 9. * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
Yes
No
9. Limitations and Societal Impact. Have the authors adequately addressed the limitations and potential negative societal impact of their work? Discuss any serious ethical/privacy/transparency/fairness concerns here. Also discuss if there are important limitations that are not apparent from the paper. * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
10. Is the contribution of a new dataset a main claim for this paper? Have the authors indicated so in the submission form? * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
Dataset contribution claim in the paper. Indicated in the submission form
Dataset contribution claim in the paper. Not indicated in the submission form
No dataset contribution claim
11. Additional comments to author(s). Include any comments that may be useful for revision but should not be considered in the paper decision. (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
12. Confidential comments to AC, such as concerns about plagiarism, other ethical violations, or your ability to evaluate the paper (only visible to area chairs). (visible to meta-reviewers)
13. If another person wrote or helped you with the review, please identify that person here (only visible to area chairs). (visible to meta-reviewers)
500 characters left
14. Final recommendation based on ALL the reviews, rebuttal, and discussion (post-rebuttal). (visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
Strong Accept
Weak Accept
Borderline Accept
Borderline Reject
Reject
15. Final justification (post-rebuttal). (visible to authors after notification, visible to other reviewers, visible to meta- reviewers)
=========================================
Edit Review
Thank you for accepting to serve as a reviewer for CVPR 2022!
Reviews are due by January 14, 2022. Important reviewer information:
Reviewer guidelines Reviewer tutorial slides Reviewer tutorial video Notes:
(1) Reviewer questions marked with * are mandatory.
(2) Reviewer questions 14 and 15 are currently disabled and do not need to be completed for now. They will only be enabled after the author rebuttal.
(3) The authors' responses to the submission form are accessible by clicking on the paper ID in the reviewer console. Paper ID
xxxxxxxxx
Paper Title
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx REVIEW QUESTIONS 1. By taking this review assignment and checking on "I agree" below, I acknowledge that I have read and understood the reviewer guidelines. * (visible to meta-reviewers) I agree 2. Summary. In 5-7 sentences, describe the key ideas, experimental or theoretical results, and their significance. *
(visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers) 3. Strengths. Consider the significance of key ideas, experimental or theoretical validation, writing quality, data contribution. Explain clearly why these aspects of the paper are valuable. Short bullet lists do NOT suffice. * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers) 4. Weaknesses. Consider the significance of key ideas, experimental or theoretical validation, writing quality, data contribution. Clearly explain why these are weak aspects of the paper, e.g. why a specific prior work has already demonstrated the key contributions, or why the experiments are insufficient to validate the claims, etc. Short bullet lists do NOT suffice. * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers) 5. Paper rating (pre-rebuttal). * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
Strong Accept
Weak Accept
Borderline
Weak Reject
Strong Reject 6. Recommendation confidence. * (visible to other reviewers, visible to meta-reviewers) Very Confident
Somewhat Confident
Not Confident 7. Justification of rating. What are the most important factors in your rating? * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers) 8. Are there any serious ethical/privacy/transparency/fairness concerns? If yes, please also discuss below in Question 9. * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers) Yes
No 9. Limitations and Societal Impact. Have the authors adequately addressed the limitations and potential negative societal impact of their work? Discuss any serious ethical/privacy/transparency/fairness concerns here. Also discuss if there are important limitations that are not apparent from the paper. * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers) 10. Is the contribution of a new dataset a main claim for this paper? Have the authors indicated so in the submission form? * (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers) Dataset contribution claim in the paper. Indicated in the submission form
Dataset contribution claim in the paper. Not indicated in the submission form
No dataset contribution claim 11. Additional comments to author(s). Include any comments that may be useful for revision but should not be considered in the paper decision. (visible to authors during feedback, visible to authors after notification, visible to other reviewers, visible to meta-reviewers) 12. Confidential comments to AC, such as concerns about plagiarism, other ethical violations, or your ability to evaluate the paper (only visible to area chairs). (visible to meta-reviewers) 13. If another person wrote or helped you with the review, please identify that person here (only visible to area chairs). (visible to meta-reviewers) 500 characters left 14. Final recommendation based on ALL the reviews, rebuttal, and discussion (post-rebuttal). (visible to authors after notification, visible to other reviewers, visible to meta-reviewers)
Strong Accept
Weak Accept
Borderline Accept
Borderline Reject
Reject 15. Final justification (post-rebuttal). (visible to authors after notification, visible to other reviewers, visible to meta- reviewers)
=========================================
CCF A类会议 —— CVPR 2022 论文审稿模板的更多相关文章
- 跟我读CVPR 2022论文:基于场景文字知识挖掘的细粒度图像识别算法
摘要:本文通过场景文字从人类知识库(Wikipedia)中挖掘其背后丰富的上下文语义信息,并结合视觉信息来共同推理图像内容. 本文分享自华为云社区<[CVPR 2022] 基于场景文字知识挖掘的 ...
- 论文解读丨【CVPR 2022】不使用人工标注提升文字识别器性能
摘要:本文提出了一种针对文字识别的半监督方法.区别于常见的半监督方法,本文的针对文字识别这类序列识别问题做出了特定的设计. 本文分享自华为云社区<[CVPR 2022] 不使用人工标注提升文字识 ...
- CVPR 2022数据集汇总|包含目标检测、多模态等方向
前言 本文收集汇总了目前CVPR 2022已放出的一些数据集资源. 转载自极市平台 欢迎关注公众号CV技术指南,专注于计算机视觉的技术总结.最新技术跟踪.经典论文解读.CV招聘信息. M5Produc ...
- [NISPA类会议] 怎样才能在NIPS 上面发论文?
cp from : https://www.zhihu.com/question/49781124?from=profile_question_card https://www.reddit.com/ ...
- [国际A类会议] 2018最最最顶级的人工智能国际峰会汇总!CCF推荐!
copy from : http://www.sohu.com/a/201860341_99975651 如果今年的辉煌我们没有赶上,那么我们可以提前为明年的大会做准备.现在,AI脑力波小编就为大家 ...
- [A类会议] 国内论文检索
https://www.cn-ki.net/ http://www.koovin.com
- [Z] 计算机类会议期刊根据引用数排名
一位cornell的教授做的计算机类期刊会议依据Microsoft Research引用数的排名 link:http://www.cs.cornell.edu/andru/csconf.html Th ...
- CVPR 2019 论文解读 | 小样本域适应的目标检测
引文 最近笔者也在寻找目标检测的其他方向,一般可以继续挖掘的方向是从目标检测的数据入手,困难样本的目标检测,如检测物体被遮挡,极小人脸检测,亦或者数据样本不足的算法.这里笔者介绍一篇小样本(few ...
- CVPR 2020论文收藏(转知乎:https://zhuanlan.zhihu.com/p/112337176)
CVPR 2020 共收录 1470篇文章,根据当前的公布情况,人工智能学社整理了以下约100篇,分享给读者. 代码开源情况:详见每篇注释,当前共15篇开源.(持续更新中,可关注了解). 算法主要领域 ...
- myhuiban会议,期刊,科研人员,计算机类会议大全
http://www.myhuiban.com/ List of computer science conferences From Wikipedia, the free encyclopedia ...
随机推荐
- R-tree算法
R-tree是一种用于处理空间数据的自平衡搜索树结构,特别适合于存储和查询二维或更高维度的空间对象,如点.线段.矩形等.它在地理信息系统.计算机图形学.数据库等领域有广泛应用.R树通过将空间分割成几个 ...
- SHOW PROCESSLIST 最多能显示多长的 SQL?
在 MySQL 中,如果我们想查看实例当前正在执行的 SQL,常用的命令是SHOW PROCESSLIST. 但如果 SQL 过长的话,就会被截断.这时,我们一般会用SHOW FULL PROCESS ...
- MySql用户与权限控制
MySql用户与权限控制 -- 刷新权限命令 # -- 刷新mysql权限命令 flush privileges; 用户管理 1.查看用户 #查看用户 USE mysql; SELECT host,u ...
- 玉炜的iOS开发规范(12.14更新)
苹果账号篇 1.新建一个新项目之后的bundle ID无论是否定没定,上架的账号如果没定,最好先写一个绝对用不上的名字,因为这个bundle ID一经确定会被绑定在当前你的苹果账号上,如果正好绑定的是 ...
- VUE商城项目 -权限功能 - 手稿
- Eggjs 设置跨域请求 指定地址跨域 nodejs
首先egg自身框架没有直接设置允许跨域请求的功能和接口,所以需要第三方包来设置跨域请求! 先安装第三方包来设置跨域,使用egg-cors // npm npm i egg-cors --save // ...
- THM-Skynet-Writeup
通过学习相关知识点:攻破Linux目标机器并完成提权操作. 部署并渗透目标机器 step1 使用Nmap扫描端口 nmap -p- -sC -sV -T4 -v 10.10.164.81 139/44 ...
- 某手创作服务 __NS_sig3 sig3 | js 逆向
拿获取作品列表为例 https://cp.kuaishou.com/rest/cp/works/v2/video/pc/photo/list?__NS_sig3=xxxxxxxxxxx 搜索__NS_ ...
- 女朋友问我 LB 是谁?
科普一下 LB(负载均衡)技术 我的编程导航网站:www.code-nav.cn 大家好,我是鱼皮. 周末在家写代码,无意中跟女朋友提了下 LB,还说 LB 好的呱呱叫. 她笑了笑,问我 LB 是谁? ...
- Java JVM——12. 垃圾回收理论概述
1.前言 1.1 什么是垃圾? 在提到什么是垃圾之前,我们先看下面一张图: 从上图我们可以很明确的知道,Java 和 C++ 语言的区别,就在于垃圾收集技术和内存动态分配上,C++ 语言没有垃圾收集技 ...