rt，楼主很好奇大家的心理怎么变化的 
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人太菜了，暂时还没有相关经历，不过听过这样一个很让我悲伤的故事：
有一个学姐想冲顶刊，在一个课题上精耕细作了四年还是五年。文章马上要发出来的时候，另一个组抢先发出来了差不多的 paper。
虽然导师最后还是给学姐毕业了（好像是个比较牛的导师），但学姐非常难过。毕业以后退出科研界，以后再没碰过科研。
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一些可能有些纸上谈兵的建议：
- 认清科研也很卷，不要长时间死磕一个课题
- 被撞车了别急着破防，找点自己 unique 的点努力搓一篇。完全撞车感觉概率不大，能搓一篇小的发出来对自己未来总有帮助，也算没辜负自己的努力。
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唉，我自己搓的课题被 IBM 狠狠撞飞了。。
很多点都一致，我现在在细看他的论文，看看有没有我还能改的地方。
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这个确实更难受。。。。
现在我手搓搞个小竞赛项目都很害怕撞车，难以想象精耕细作四五年最后一场空的打击有多大……
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当时刚入门语音，花了三个月读了一堆 paper 之后，顺着发展思路慢慢想了一个 idea 的雏形，然后和 mentor 商量怎么优雅地实现。又过了俩月，发现这个 idea 已经被某大神发了 cvpr，但是我又不想放弃，就把他的代码拿来补充了一些小 contributions 写了一篇，被拒了一次后中了。
再然后又读了半年 paper，突然发现有个很牛逼能搞很多引用的坑没人挖，主要是数据得自己采集，但是采集并不太困难，不需要人工标注，基本自动搞搞就行。但是组里没空搞 or 没钱搞，我也忘了为啥没说服 mentor 搞这个，反正最后也没搞。后来发现 msr 和腾讯都自己搞了一个私有的数据集，一直没有公开，偷偷发 paper。于是只能用模拟算法生成了一堆破烂数据，写了篇 paper，但是数据太破烂导致发不出去，只能投了个期刊。
现在又琢磨了一下，感觉 ai 领域 paper 太多导致 idea 太密集，基本上一个小领域顺着年份看个几十篇就能脑补出一大堆 idea，但是其实不怎么值钱
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https://www.cs.cmu.edu/~mblum/research/pdf/grad.html
There will come a time when you work on a problem long and hard and SUCCESSFULLY 
And then you learn that someone else already published. 
Hard as that may be for you to take, you must view this too as a great opportunity.
Don’t turn off. Read what got published.
You will be surprised how often the published paper turns out to be different in some significant way. Roughly
50% of the time, it is NOT at all the same as what you did.
25% of the time, it is the same but not as good.
25% of the time it is better.
This means that 50% of the time or more, you can still publish.
And what about the 25% time that what got published is better than your own?
In that case, you have a great opportunity to learn.
Ask yourself: “How SHOULD I have been thinking to solve the problem in this fine way?”
This is how I discovered, as a young engineer, that I should learn something enormously powerful called “Modern Algebra.”
It’s one reason I switched from Electrical Engineering as an undergraduate major to Mathematics as a Graduate major.
Of course, this was before there existed anything called Computer Science.
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只要不是故意抄袭，撞车文章一两个月之内撞都是可以一起发表的，例子多了去了
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原来如此，学到了。。。