此部分记录一下自己在面试中被问到的知识点。(关于算法、编程、语言部分在别的博客中单独记录。)
有小伙伴感兴趣的也可以在评论中留下自己被问到的问题,我看到后会加上。
1、NMS
https://blog.youkuaiyun.com/lanchunhui/article/details/71216463,https://blog.youkuaiyun.com/HappyRocking/article/details/79970627,https://blog.youkuaiyun.com/leviopku/article/details/80886386
2、评价指标recall,PR等
https://www.cnblogs.com/Zhi-Z/p/8728168.html,https://blog.youkuaiyun.com/qq_36653505/article/details/82709281
3、防止过拟合的方法
https://cloud.tencent.com/developer/news/306177
4、BN
https://www.cnblogs.com/eilearn/p/9780696.html
5、pytorch中的数据API
https://blog.youkuaiyun.com/yskyskyer123/article/details/80669894,https://blog.youkuaiyun.com/Mundane_World/article/details/80873074
6、RPN
https://blog.youkuaiyun.com/xys430381_1/article/details/82784645,https://www.cnblogs.com/jiangnanyanyuchen/p/9433791.html,https://www.jianshu.com/p/cbfaa305b887
7、GPU利用率低的原因
https://blog.youkuaiyun.com/dearcandy/article/details/90715737,https://blog.youkuaiyun.com/qq_32998593/article/details/92849585,https://zhuanlan.zhihu.com/p/53345706
8、线段树
这个知识点真的是第一次被某独角兽公司问到,,,盲点
https://www.cnblogs.com/jason2003/p/9676729.html
https://blog.youkuaiyun.com/huangzihaoal/article/details/81813454
9、Faster RCNN
faster rcnn检测小目标效果不好的原因:https://www.zhihu.com/question/268233942
(注:还被问到了一个开放性的问题:你觉得如何解决这样的小目标检测效果不好的问题?,,emmm自己和面试官的回答与讨论就不写了,大家自行思考吧)
https://www.cnblogs.com/wangguchangqing/p/10384058.html
https://blog.youkuaiyun.com/hust_lmj/article/details/78974348
https://www.julyedu.com/question/big/kp_id/32/ques_id/2103
10、正则化项L1和L2的理解
https://blog.youkuaiyun.com/qq_20412595/article/details/81636105
https://blog.youkuaiyun.com/jinping_shi/article/details/52433975
https://blog.youkuaiyun.com/u014479551/article/details/105452820
11、HRNet系列
https://blog.youkuaiyun.com/weixin_37993251/article/details/88043650
https://segmentfault.com/a/1190000019167646
https://blog.youkuaiyun.com/weixin_40671425/article/details/105600137
12、目标检测之样本不均衡的解决方法
https://zhuanlan.zhihu.com/p/63109691
13、目标检测之one-stage和two-stage网络的区别
http://www.julyedu.com/question/big/kp_id/32/ques_id/2965
14、1*1的卷积核 有什么用
https://www.zhihu.com/question/56024942
15、梯度消失与梯度爆炸
16、目标检测:Feature Pyramid Networks(FPN)
https://blog.youkuaiyun.com/Chunfengyanyulove/article/details/81390796
17、anchor-based 与 anchor-free
https://zhuanlan.zhihu.com/p/62372897
18、小目标检测
https://blog.youkuaiyun.com/ai_study/article/details/101523393
19、优化方法
https://blog.youkuaiyun.com/qq_37098526/article/details/90754356
https://www.cnblogs.com/wuxiangli/p/7258510.html
https://www.cnblogs.com/callyblog/p/8299074.html
20、BN和Dropout在训练和测试时的差别
https://blog.youkuaiyun.com/songyunli1111/article/details/89071021
21、加速卷积计算
https://www.mobibrw.com/2019/17787
22、Focal loss参数及使用场景
https://www.cnblogs.com/king-lps/p/9497836.html
https://www.zhihu.com/question/315802954
23、RoI Pooling 与 RoI Align 的区别
https://zhuanlan.zhihu.com/p/161540817
https://blog.youkuaiyun.com/qq_32172681/article/details/99734978
https://blog.youkuaiyun.com/emiedon/article/details/84727394
24、kmeans及knn的python实现
kmeans:
https://www.cnblogs.com/ahu-lichang/p/7161613.html
https://blog.youkuaiyun.com/qq_30377909/article/details/94596305
knn:
https://www.cnblogs.com/yszd/p/11070192.html
https://www.cnblogs.com/ahu-lichang/p/7151007.html
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C++
https://blog.youkuaiyun.com/kuweicai/article/details/82779648
https://www.cnblogs.com/LUO77/p/5771237.html
https://www.cnblogs.com/demian/p/9281966.html
C中new和malloc的区别
https://blog.youkuaiyun.com/nie19940803/article/details/76358673
浅谈C语言字符串结束符'\0'
https://www.cnblogs.com/stefango/p/9329405.html
c++ new delete new[] delete[] 底层实现
https://blog.youkuaiyun.com/cfarmerreally/article/details/54585443
https://blog.youkuaiyun.com/qq_42719751/article/details/90084812
博客资源汇总:
图像处理CV/ML/DL 面试题整理(一)、图像处理CV/ML/DL 面试题整理 (二)、图像处理CV/ML/DL 面试题整理 (三)
https://github.com/taizilongxu/interview_python
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概率题
1、一根木棒折成三段,组成三角形的概率
https://www.zybang.com/question/70b34ffdcda26eb97ef1e1586f0d13eb.html
https://www.cnblogs.com/pangxiaodong/archive/2011/08/20/2147283.html
2、100人坐飞机,第一个乘客在座位中随便选一个坐下,第100人正确坐到自己坐位的概率是?