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首先,你说得对,TPAMI确实主要发CV(计算机视觉)方向的论文。但是说它是AI领域的顶刊,这个说法一点也不为过,原因如下: 1. 历史渊源 TPAMI全称是IEEE Transactions on Pattern Analysis and Machine Intelligence,从名字就能看出来,它关注的是"模式分析"和"机器智能"这两个大方向。这两个方向恰恰是人工智能. 编辑回邮件如下:we have completed the review process of the above referenced paper that was submit… PAMI终于中了,前后一共历时17个月TAT。 另外中了ICCV,前后历时半年,ICCV的组织方给人一种不紧不慢的感觉,所有环节(审稿 rebuttal 出poster/oral结果)都比CVPR ECCV要长一点。

3,平均来看,PAMI 的审稿人比会议的专业程度要高不少。 不会出现那种一句话给reject的情况,如果给reject,至少理由很充分和中肯,对下一版本的修改有很强指导意义。 4,最后,个人感觉只要是solid且有亮点的工作,即使放到如此random的今天,也是会有好的去处。 现在传统图像处理算法还能发Pami吗? 本人目前在研究传统的图像分割算法,有一个idea可以把一大类图像分割算法的运行效率大幅度提升(ps:不损失精度,图像巨大2w*2w甚至更大,且这里的大… 请问如何获得pami (ieee transactions on pattern analysis and machine intelligence)期刊每一期的目录?

有评论说 pami 只是很一般的期刊,他师弟本科就发了,只是国外博士的申请条件,我只表示呵呵。 让他说一个ai, ml, cv界比pami更好的trans,他又不说话。 有人怀疑pami拿不了教职。 其实 云南大学,双一流,cs专业只要985博士毕业,就给讲师编制。

国内没有PAMI的计算机视觉实验室值得去读博吗? 国内985高校某组,每年大概3篇左右CVPR,4篇左右二区IEEE trans,但从没有过PAMI/IJCV等期刊,该组大概什么水平? 今天收到了tpami第二轮结果,审了三个月,总的minor revision,两个reviewer一个major revision一个accept。使昨天刚被老板骂“paper写的挺勤快中稿率也不高”的我得到一丝慰藉。 另外两篇TPAMI在投的就比较久,有一个第一次提交过去三个月,还没出结果,另一个major revision提交上去已经五个月了,还没给第二. 个人感觉TRO和T-PAMI都属于行业的顶刊,其实直接拿来比是不太合理的。 我只对TRO有一些概念,但是对于T-PAMI没啥概念,从来没有发过(哈哈)。

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