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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. 在各种统计中，PAMI被认为有着很强的影响因子（2011年影响因子为4.9）和很高的排名。 显然，这个期刊的中稿难度那是相当的大，一般先投中CVPR之后再加点东西投该期刊会比较好中一点。 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。 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）。 请问如何获得pami (ieee transactions on pattern analysis and machine intelligence)期刊每一期的目录？
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.
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？ 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…
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