首页
外语
计算机
考研
公务员
职业资格
财经
工程
司法
医学
专升本
自考
实用职业技能
登录
外语
Human memory is notoriously unreliable. Even people with the sharpest facial-recognition skills can only remember so much. It
Human memory is notoriously unreliable. Even people with the sharpest facial-recognition skills can only remember so much. It
admin
2021-01-08
115
问题
Human memory is notoriously unreliable. Even people with the sharpest facial-recognition skills can only remember so much.
It’ s tough to quantify how good a person is at remembering. No one really knows how many different faces someone can recall, for example, but various estimates tend to hover in the thousands—based on the number of acquaintances a person might have.
Machines aren’ t limited this way. Give the right computer a massive database of faces, and it can process what it sees—then recognize a face it’ s told to find—with remarkable speed and precision. This skill is what supports the enormous promise of facial-recognition software in the 21st century. It’ s also what makes contemporary surveillance systems so scary.
The thing is, machines still have limitations when it comes to facial recognition. And scientists are only just beginning to understand what those constraints are. To begin to figure out how computers are struggling, researchers at the University of Washington created a massive database of faces—they call it MegaFace—and tested a variety of facial-recognition algorithms (算法) as they scaled up in complexity. The idea was to test the machines on a database that included up to 1 million different images of nearly 700,000 different people—and not just a large database featuring a relatively small number of different faces, more consistent with what’s been used in other research.
As the databases grew, machine accuracy dipped across the board. Algorithms that were right 95% of the time when they were dealing with a 13,000-image database, for example, were accurate about 70% of the time when confronted with 1 million images. That’ s still pretty good, says one of the researchers, Ira Kemelmacher-Shlizerman. " Much better than we expected," she said.
Machines also had difficulty adjusting for people who look a lot alike—either doppelgangers (长相极相似的人) , whom the machine would have trouble identifying as two separate people, or the same person who appeared in different photos at different ages or in different lighting, whom the machine would incorrectly view as separate people.
"Once we scale up, algorithms must be sensitive to tiny changes in identities and at the same time invariant to lighting, pose, age," Kemelmacher-Shlizerman said.
The trouble is, for many of the researchers who ’ d like to design systems to address these challenges, massive datasets for experimentation just don’ t exist—at least, not in formats that are accessible to academic researchers. Training sets like the ones Google and Facebook have are private. There are no public databases that contain millions of faces. MegaFace’ s creators say it’ s the largest publicly available facial-recognition dataset out there.
" An ultimate face recognition algorithm should perform with billions of people in a dataset," the researchers wrote.
What is the difficulty confronting researchers of facial-recognition machines?
选项
A、No computer is yet able to handle huge datasets of human faces.
B、There do not exist public databases with sufficient face samples.
C、There are no appropriate algorithms to process the face samples.
D、They have trouble converting face datasets into the right format.
答案
B
解析
细节题。原文倒数第二段前两句话指出,对于那些想要设计系统应对这一挑战的研究者们,没有用于实验的巨大的数据集,即便有,学术研究人员也无法得到。谷歌和脸书这样的数据库是私人的。没有一个包含百万张人脸图像的公开的数据库。最后一段提到,研究人员表明,终极人脸识别算法应该在有着数十亿人脸数据的数据库上执行。由此可知,研究人员面临的问题是没有一个足够大的可以公开用的人脸图像数据库,故答案为B。A、C、D三项原文均未提及,故排除。
转载请注明原文地址:https://kaotiyun.com/show/8SP7777K
0
大学英语六级
相关试题推荐
A、Itdiscoversthatthebrainlikestorememberthingswithtunes.B、Ithasfindingsaboutpeoplewhostruggletolearnlanguage
A、Sendingallmessagessimultaneouslytotheaudience.B、Learningfromafamouspublicspeakingprofessor.C、Simplifyingandbre
Mostofustendtothinkthatattractivepeoplearealwaysatanadvantageinlifeandenjoyfarmoreopportunitiesthanaverage
HowPovertyChangestheBrainA)Yousawthepicturesinscienceclass—aprofileviewofthehumanbrain,sectionedbyfuncti
A、Notusingoffensiveorhurtfullanguage.B、Usingmoreencouragingwords.C、Neverusingslangwordswitholdpeople.D、Usingso
A、Theymightactuallycausemoreserioussleepingproblems.B、Theyhelpproduceasubstancethatinducessleep.C、Youmustnotd
ItstartedwithanitchafterastrollonaCaribbeanbeach,butinjustafewdaysithaddevelopedintoacompletetravel【C1】_
A、Languageshavedifferentobligatorycategories.B、Languagesconnectwiththecommunitythatusesthem.C、Languageshavecompli
ConradHiltonreallywantedtobeabanker.Instead,hesuccessfullychangedthe【C1】______purchaseofaTexaslow-endhotelinto
AreTeenagersReallyCarelessAboutOnlinePrivacy?[A]Theyshare,like,everything.Howtheyfeelaboutasong,theirmathshom
随机试题
冷弯试验可以确定焊缝金属的屈服点。()
陆游的《关山月》(和戎诏下十五年)的线索是()
A.红细胞管型B.白细胞管型C.脂肪管型D.上皮细胞管型E.蜡状管型急性肾小球肾炎可出现
某变电站的10kV经消弧线圈接地系统,对于其10kV母线应安装()电压表。
从经济法主体行为的层级性来看,在财政法领域,国债的发行行为属于()。
背书人将被拒绝承兑的汇票,以背书方式进行转让,应当承担票据责任。()
①你的面前有两个门,左门和右门,你必须在它们之间选择②这里我们不考虑道德因素,你将如何选择③这时候,屋里突然失火,火势很大,无法扑灭,此时你想逃生④但问题是,其他人也要争抢这两个门出逃⑤一天晚上,你参加一个派对,屋里
在本次校庆晚会中,各年级都表演了节目,并给表演精彩的同学颁发优秀奖。据统计,一共有30位同学获得了优秀奖,其中女同学有18位。而从年级高低来看,获优秀奖的同学中,高年级占了16个。根据以上信息,关于这30位获奖者以下哪项一定为真?
[*]
下图是网络地址转换NAT的一个示例,图中①和②是地址转换之后与转换之前的一对地址(含端口号),它们依次应为()。
最新回复
(
0
)