9 痥 1 畍 䎷锷 (Introduction) 睗 1 皹ךעյ䍇韢כַֹ׆כךל׆־׼㢼״יַׂסֿ虘ַס־מ חַיֽ⚻ֻ׊יַ׀ױ׌ն1-1 硼ךע勓剹⪢✄؅ꄼ׊גؓوٞ٭ز ס䭰ꓹյ1-2 硼ךע韢倀ס㕈勓圸䧯מחַיյ1-3 硼ךע劄⮴מ鞅؆ ךֽ׀גַ韢倀ٛتعמחַיյ1-4 硼ךע 2 皹♧䔿ס勓剹ס圸䧯מ חַי⺅׽䪒ַױ׌ն 1.1 ת׆⡦ַ׵㨣׭׷ךָ葺ְךַ ױ׍✇־׼㢼״׾סֿ虘ַס־ך׌ֿյ┫阾מַׂח־סꓨ锡◜꽃מחַ יױכ״ױ׌ն 1) 韢倀ס䱱׊偙מחַי焒׾ 2) 韢倀ס㕈勓圸䧯מחַי焒׾ 3) 㵅갾מַׂח־鞅؆ךײ׾ ױ׍յ1) ס韢倀ס䱱׊偙ך׌ֿյ㕈勓溷מע arxiv כַֹئؕعמ韢倀ֿ 䫋畇׈׿יַ׾סך׆ה׼ך锶חׄ׾׆כֿך׀ױ׌ն 9

1 0 痥 1 畍 䎷锷 (Introduction) 1.1 ת׆⡦ַ׵㨣׭׷ךָ葺ְךַ ㎫: 1-1 arxiv(VGGNet ס Abstract) https://arxiv.org/abs/1409.1556 ㎫: 1-2 arxiv(pdf 䓺䑑ס VGGNet ס韢倀) https://arxiv.org/pdf/1409.1556.pdf 10

1 1 痥 1 畍 䎷锷 (Introduction) 1.1 ת׆⡦ַ׵㨣׭׷ךָ葺ְךַ ׆ה׼סئؕعךע㎫ 1-1 ס׻ֹם Abstract ؅銨獏׊יַ׾ً٭ة־׼յ ㎫ 1-2 ס׻ֹם pdf סٛ٤ؠמ낗ש׆כֿך׀ױ׌ն䕋匡ךע㎼갾㳔⚶ס ً٭ةםלך⪪ꪛ׈׿׾׆כֿ㝂־זגך׌ֿյꁿ䌑ס煝疴עꅼ㺤׵僃ַ׆ כ־׼篙卸ֿ⮂גذِؕ٤ءך arxiv מ⪪ꪛ׊יא׆־׼ٛفؕث׊יַׂ כַֹ嵣׿מםזיַ׾׻ֹך׌ն AlexNet ׷ R2D2 םלյ瓑מ劔⻏ם韢倀ך׵ arixiv מ┪ֿזיַםַ❛ 㜽ס韢倀׵ֵ׽ױ׌ֿյ㕈勓溷מꁿ䌑⪪ꪛ׈׿יַ׾韢倀ס 99 ע arxiv מ┪ֿזיַ׾כ脝ֻיֽׂכ虘ַך׌ն ㎫: 1-3 韢倀ס嗱筺 嗱筺מֵגזיע㕈勓溷מ㎫ 1-3 ס׻ֹמւ؞٭٠٭غ arxivփכ嗱筺׌ ׾כ┞沁┪מكشع׌׾آ٭تֿ׮כ؆לך׌նאסג״׆ס׻ֹמ鞪׬׾ כ虘ַך׌ն ւ؞٭٠٭غ 韢倀փםלך嗱筺׌׾כ♑ס阾◜ֿ䑛ז־־׾⺪ 茣䙎׵ֵ׾סך嚋ⲇ鉿؂םַ׻ֹמ׊ױ׊׺ֹն 2) ס韢倀ס㕈勓圸䧯מחַיע 1-2 硼ךյ3) ס㵅갾מַׂח־鞅؆ךײ ׾מחַיע 1-3 硼ך牞霼׊יַ׀ױ׌ն 11

1 2 痥 1 畍 䎷锷 (Introduction) 1.2 锷俑ך㛇劤圓䧭 1.2 锷俑ך㛇劤圓䧭 1-2 硼ךע韢倀ס㕈勓圸䧯מחַי⺅׽䪒ַױ׌նױ׍յ┫阾מ韢倀ס㕈 勓圸䧯מחַיױכ״ױ׌ն ٬Abstract ٬Introduction(Section1) ٬Related Work(Section2) ٬Main Theme & Model Architecture(Section3) ٬Experiments(Section4) ٬Conclusion(Section5) ׆׿׼ממחַיעא׿ב׿ 1-2-1 硼֐1-2-6 硼ך⺅׽䪒ַױ׌ն 1.2.1 Abstract 1-2-1 硼ע韢倀ס Abstract מחַי牞霼׊יַ׀ױ׌նAbstract ע韢倀 סꓨ锡◜꽃؅⪢יױכ״ג锡笴ס⫐㵼מם׽ױ׌նאסג״յ韢倀מַֽי 䒣鞪׊גַَؕ٤عע㕈勓溷מ Abstract מ阾ꃍ׈׿יַ׾כ脝ֻ׾כ虘ַ ך׌ն ׆׆ךյ䒣鞪׊גַَؕ٤عמחַיך׌ֿյ䔿傽ױכ״潲׊ג闋鞃剹 (⪜ꪎ剹׵⻻ײױ׌) כע沌ם׽յ㕈勓溷מ⩰鉿煝疴כס䈼⮔ֿ䖩׍䒣鞪׈׿ ׾׆כע䟨餟׌׬׀ך׌նאסג״偆׊ׂ㸬⪜׈׿ג嚣䗻ס鞃僻ֿ㝂ׂյ⩰ 鉿煝疴؅鵕销׌׾َؕ٤عע祔ⷃמ嵣׌׆כֿ㝂ַ׆כע鞅׳갾מ䟨餟׌׬ ׀َؕ٤عך׌ն׊גֿזיյלסط٭ُמꫀ׌׾韢倀׵յאסط٭ُמֽ ׄ׾َؙشؠْؕ؞٤ءם韢倀؅ 2֐3 鞅؆ךֽׂכ需ס槏闋ֿتّ٭ثך ׌ն׆ה׼מחַיע 1-3 硼ך劄⮴מ鞅؆ךֽ׀גַ韢倀ٛتعכַֹ䓺ך ױכ״יֽ׀ױ׌ն ׈יյֵ׾瓦䍲煝疴عٝ٤غ؅䲖؆ד┪ך Abstract ؅鞅ײꅼ״׾כյ"so, 12

1 3 痥 1 畍 䎷锷 (Introduction) 1.2 锷俑ך㛇劤圓䧭 we propose ..."ס׻ֹמꓨ锡אֹם銨槁ֿ⮂יׂ׾סך׌ֿյ⮴״י臝ׂ嚣 䗻ךֵ׾砈䨾ֿ⮂י׀ױ׌ (׵ה؀؆嚣锡焒זיי鞅׳ם׼⮴״יךעםַ ־׵׊׿ױ׎؆)ն׆ס砈䨾ֿ韢倀ס Main Theme ךֵ׾׆כֿ㝂ׂյ㕈勓 溷מע Section3 ך霄箖ֿ阾ꃍ׈׿יַױ׌ն 韢倀؅鞅׳מֵגזיյMain Theme ꌃ⮔ֿח־״׿ףֵכע鎢鳉ס׻ ֹם׵סםסך㎫銨דׄ牞霼׌׿ף㝕卽ע䲖׳׆כֿך׀ױ׌նאסג״յ Abstract ؅鞅ײםֿ׼ Main Theme ס锶䓜؅חׄ׾כַֹסֿյ韢倀ס鞅 ײ㢼״מ鉿ֹכ虘ַ掾מם׽ױ׌ն 1.2.2 Introduction(Section1) Introduction ע Abstract ס霄箖曫דכ脝ֻיֽׂכ虘ַך׌նAbstract ס阾鼥؅鞅؆ד갾מ韢倀סْؕ٭ةֿⶥ⮔䲖״יַ׿ף摾槏׊י鞅׳䖩锡ע םַך׌նֿյAbstract ס鞃僻ֿ䬂骭溷דזג׽յ倀ֿ곓闋ך鞅ײ⺅׽ט ׼ַדזג׽םלס갾עյ鎢鳉溷מ牞霼׊יֽׂכ虘ַך׌նױגյ׊ז־ ׽⫐㵼؅䲖ײגַ갾עقٚءٚنٛ٭ظؔ٤ء؅׌׾ס׵虘ַך׌ն 㕈勓溷ם韢僁㺤ꪛע Abstract כ㜟؂׼םַסך׌ֿյ阋⹳מ㸐׊י韢倀 ס⹧攍ֿ㝂ַכַֹס׵ Abstract כסꇙַמם׽ױ׌նAbstract ס⫐㵼ֿ ⪽✄溷מלס煝疴؅⹧攍׊ג阋⹳םס־؅焒׽גַ갾מע Introduction ך 霂䓜׌׾阾ꃍ؅䱱׌ס׵ⲯ卸溷ך׌ն ױגյIntroduction ס劄䔿מע"Our main contribution is below."ס׻ֹ מյ韢倀סꓨ锡ם韢掾؅ױכ״יׂ׿יַ׾׆כ׵ֵ׾סךյ劄䔿ס偙דׄ 牞霼׌׾ס׵ⲯ卸溷ם㖪⻉ֵֿ׽ױ׌ն 1.2.3 Related Work(Section2) Related Work מחַיעꫀꅙ׌׾煝疴מחַיױכױזיַױ׌նלה ׼־כַֹכ韢倀ס詇脢ס锶闋ס芻再؅阾׌⫐㵼ךעֵ׽煝疴脢׷吉鞅脢מ ⻔ׄי剹ַיַ׾׻ֹמ׵䘼؂׿׾סךյ嚣锡؅䪻䳢׌׾潨溷ךע摾槏׊י 13

1 4 痥 1 畍 䎷锷 (Introduction) 1.2 锷俑ך㛇劤圓䧭 鞅ױםׂי׵虘ַכ䘼ַױ׌ն 䢍׿יׂ׾כյֽא׼ׂ׆סꁊ؅⹧攍׊יַ׾סךעםַ־כַֹ镄掾ך 鞅ײ嵣׌ס׵虘ַכ䘼ַױ׌ֿյ劄⮴סֹהע摾槏׊י鞅ױםׂי׵虘ַכ 䘼ַױ׌ն⩰鉿煝疴מחַיס阋⹳סג״յ؞٭٠٭غדֽׄ׈ֻיֽׂכ ַֹס׵ֵ׽־׵׊׿ױ׎؆ն 1.2.4 Main Theme & Model Architecture(Section3) 韢倀סْؕ٤כם׾脝ֻ偙מחַי俙䑑׷㎫յٜؓإٛثّםלך銨槁׈ ׿יַױ׌նAbstract ס姌מⲇ؅⪜׿י鞅׳כ虘ַ⫐㵼מם׽ױ׌ն㕈勓 溷מ㎫ֿ┞沁כזח׀׷׌ַסך㎫־׼牞霼׊יַׂסֿ虘ַכ䘼ַױ׌ն 姌מ闋鞃յ俙䑑յٜؓإٛثّך׌ֿյכזח׀׷׌׈ע韢倀מ׻זיꇙֹ ⷦ骭ך׌ն 闋鞃ֿ祔愃ךֵ׿ף闋鞃־׼鞅׳סֿ虘ַך׌ֿյꩽ倀מםזיַ׾כ鞅 ײ⺅׾סֿ㝕㜟םסךյ俙䑑׷ٜؓإٛثّ־׼牞霼׌׾偙ֿ嚝כַֹכ׀ ׵ֵ׽ױ׌ն⠥☭溷מע㕈勓溷מע闋鞃؅㸴׊嵣׊ג┪ך俙䑑->闋鞃->ؓ ٜإٛثّס꽄ך锶יַ׾סך׌ֿյ俙䑑ע嚣锡؅䲖׳┪ךע詇脢ꪨס⠥☭ 䈼ֿא׆ױךםַסך䟨㜽כ鞅ײ׷׌־זג׽׊ױ׌ն 俙䑑ע곓׊אֹכ䘼ֹ־׵׊׿ױ׎؆ֿյ㴻聋؅׊ז־׽锶׾׻ֹמ׊י ַ׿ף䟨㜽כ锶䱧ׄ⠱׊ס俙䑑׵㝂ַסךյ䢍׿׾כא׿׮ל㝕㜟ךעםַ ך׌նכעַֻյ免䫐 lemma(鎢꾴) ׷ theorem(㴻槏)յproof(隍僻) םלמ חַי剹־׿ג韢倀םל׵ֵ׽յאַֹֹآ٭تע俙㳔ֿ䕑䟨ךםׄ׿ףꉌ ׄ׾ס׵ֵ׽דכ䘼ַױ׌1 ⰺֵ׾־םַ־םסךյ劄⮴ע摾槏׊םׂי ׵虘ַכ䘼ַױ׌ ն 1.2.5 Experiments(Section4) Experiments ךע韢倀ס㵅닫篙卸םלמחַיױכ״׼׿יַױ׌ն DeepLearning ׷塌唩㳔肪ס韢倀ס㝂ׂע㵅隍㵅닫溷ם䟨⽱⻉ַ׵㝕׀ַג 14

1 5 痥 1 畍 䎷锷 (Introduction) 1.3 㹋ꥷחְֻאַ铣׿ד׫׷ ״յ㵅닫篙卸מחַי坎չם阾ꃍֿ鉿؂׿יַױ׌ն銨׷㎫םל؅锶םֿ׼ 篙卸ס嬟鼛׷ؓؗعوشعסْؕ٭ة؅䲖׳׆כֿך׀ױ׌ն 劄⮴סֹהע嵣׊י׵虘ַ⫐㵼ך׌ֿյ䢍׿יׂ׾כ雄❿סْعٛؠتד ׄ䟨餟׊יꃯזיֽׂכ虘ַכ䘼ַױ׌նכַֹס׵雄❿סْعٛؠت؅䫅 ֻյ篙卸؅闋ꓡ׊יֽׂ׆כךյ꿔⛣ذتؠ؅氠ַילסׂ׼ַס篙卸ֿ⮂ ׎׾־כַֹ锶䓜؅חׄ׾סמ䔢מ皑ח־׼ך׌ն⻎׋窢䍲ֿ⮂׎׾־לֹ ־ױךע؂־׽ױ׎؆ֿյوٞةؘؠع؅㢼״׾⯼מ׆ס韢倀ךע׆סׂ׼ ַסتؤֿؓ⮂יַ׾־׼אס 80 ׂ׼ַע⮂׾ד؀ֹכ脝ֻג┪ךوٞ ةؘؠع؅ꅼ״׼׿׾כ׻׽牞㵅דכ䘼ַױ׌ն 1.2.6 Conclusion(Section5) Conclusion ע韢倀ס篙韢מֵג׾⫐㵼ך׌ն⠥☭溷מע Abstract כ錺׾ ג״յֵױ׽鞅؆ךַױ׎؆ֿ侉״י䮴׽ꂉ׾ם׼牞霼׌׾ס׵ֵ׽דכ䘼 ַױ׌ն 1.3 㹋ꥷחְֻאַ铣׿ד׫׷ 1.3.1 铣׫倯חאְג 㕈勓溷מעꓨ锡ם䝠㖥ע Abstract מױכױזיַ׾סךյAbstract ؅鞅 ؆ך嚣锡؅䪻䳢׊ג┪ך霄׊ׂ鞅ײגַ砈䨾؅霄׊ׂ鞅؆ךַׂכַֹסֿ 虘ַכ䘼ַױ׌ն 勓剹ךע 2 皹♧䔿ך㵅갾מ韢倀؅鞅؆ךַ׀ױ׌ֿյAbstract ؅⾔陹ח ׀ך׊ז־׽כ闋鞃׊յאס♑סجؠب٘٤מחַיעꓨ锡َؕ٤عמ篹ז י牞霼׊יַ׀ױ׌նꓨ锡َؕ٤عע㎫銨׷俙䑑מםזיַ׾׆כ׵㝂ַג ״յ㎫銨׷俙䑑מ濪潨׌׾آ٭تֿ㝂ׂםזיַױ׌ն 15

1 6 痥 1 畍 䎷锷 (Introduction) 1.3 㹋ꥷחְֻאַ铣׿ד׫׷ 1.3.2 剑ⴱח铣׿דֶֹ׋ְ锷俑ٔأز 1-3-2 硼ךע㵅갾מ䢍׿׾מֵגזיյ劄⮴מ鞅؆ךֽ׀גַ韢倀מחַ יׇ箩♃׊ױ׌ն1-2 硼ךյ韢倀ע㕈勓溷מ䈼⮔؅阾ꃍ׌׾⥰⻔מֵ׾כ׊ ג׻ֹמյ㕈勓溷מע⩰鉿煝疴ס鵕销סכ׆؀ע嵣׊י剹ַי؛ٛةػٜס ꌃ⮔ס阾鼥ֿ㝂ׂם׽ױ׌ն ׊גֿזיյ煝疴عٝ٤غ؅ֵ׾瓦䍲䪻䳢׊יֽׂסֿ虘ַסך׌ֿյל ס⮔ꓩס韢倀׵אס⮔ꓩסَؙشؠْؕ؞٤ءם韢倀؅ֵ׾瓦䍲䟨餟׊ג┪ ך剹ׂ⥰⻔מֵ׽ױ׌նאסג״յ⻄ط٭ُ嬐מ䑛氠俙ס㝂ַ韢倀ע⩰מ鞅 ؆ךֽׂ偙ֿ虘ַך׌ն⪽✄溷מע劔⻏ם韢倀ע俙䌑篑חכ 1,000 ؅鱩ֻ ׾׆כֿ㝂ַך׌׵ה؀؆ط٭ُ嬐מא׿ב׿䈼ֵֿ׾סך峜䟨ֿ䖩锡 ך׌ ն ׆׆ױךס韢ꃍ؅鵕ױֻג┪ך┫阾מ劄⮴מ鞅؆ךֽ׀גַ韢倀סٛتع מחַיױכ״ױ׌ն Ӥ 㕈勓溷םؾشع٠٭ؠؓ٭؞طؠزٔ (氺⦐⮔꿔) ٬AlexNet[2012] 錺䑛氠俙:53,351(2019/12/29 免掾) ٬VGGNet[2014] 錺䑛氠俙:31,889(2019/12/29 免掾) ٬ResNet[2015] 錺䑛氠俙:36,106(2019/12/29 免掾) ٬MobileNets[2017] 錺䑛氠俙:3,157(2019/12/29 免掾) * Ӥ 朮✄嗱⮂ (Object Detection) ٬RCNN[2013] 錺䑛氠俙:11,073(2019/12/29 免掾) ٬SPPNet[2014] 錺䑛氠俙:3,618(2019/12/29 免掾) ٬Fast RCNN[2015] 錺䑛氠俙:7,875(2019/12/29 免掾) ٬Faster RCNN[2015] 錺䑛氠俙:14,734(2019/12/29 免掾) ٬SSD[2016] 錺䑛氠俙:6,538(2019/12/29 免掾) ٬Feature Pyramid Network[2016] 錺䑛氠俙:2,531(2019/12/29 免掾) Ӥ جءْ٤ط٭ب٘٤ (Segmentation) 16

1 7 痥 1 畍 䎷锷 (Introduction) 1.3 㹋ꥷחְֻאַ铣׿ד׫׷ ٬FCN[2014] 錺䑛氠俙:13,274(2019/12/29 免掾) ٬U-Net[2015] 錺䑛氠俙:10,549(2019/12/29 免掾) ٬Mask R-CNN[2017] 錺䑛氠俙:4,497(2019/12/29 免掾) Ӥ 气䧯ٓظٜ ٬GAN[2014] 錺䑛氠俙:14,600(2019/12/29 免掾) ٬DCGAN[2015] 錺䑛氠俙:5,141(2019/12/29 免掾) Ӥ 阋靣⭦槏 (Natural Language Processing) ٬Word2vec[2013] 錺䑛氠俙:17,107(2019/12/29 免掾) https://papers.nips.cc/paper/5021-distributed-representations-of- words-and-phrases-and-their-compositionality.pdf ٬seq2seq[2014] 錺䑛氠俙:8,922(2019/12/29 免掾) ٬Attention[2014] 錺䑛氠俙:9,962(2019/12/29 免掾) ٬Transformer[2017] 錺䑛氠俙:5,336(2019/12/29 免掾) ٬BERT[2018] 錺䑛氠俙:3,130(2019/12/29 免掾) ٬XLNet[2019] 錺䑛氠俙:239(2019/12/29 免掾) * Ӥ 䒣ⵊ㳔肪 (Reinforcement Learning) ٬Deep Q-Network[2013] 錺䑛氠俙:3,379(2019/12/29 免掾) https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf ٬Rainbow[2017] 錺䑛氠俙:394(2019/12/29 免掾) ٬Ape-X[2018] 錺䑛氠俙:134(2019/12/29 免掾) ٬R2D2[2019] ٬R2D3[2019] ˟ 錺䑛氠俙ע갪免㙟ֻיַׂסך㕂瞉免掾ךס錺䑛氠俙ךֵ׾׆כ מׇ峜䟨ׂד׈ַն韢倀؅䱱׌ذِؕ٤ءךյ錺䑛氠俙מחַיע갪 免牞霼ַגדׂכאס免掾ךס⚂俙ֿ؂־זי虘ַכ䘼ַױ׌ն ˟ *ֿחַיַ׾׵סע✍鎑ֿםׄ׿ף낗ף׌ס׵ֵ׽דכ䘼ַ ױ׌ն ˟ ⻎׋煝疴סٛفؕثםלֵֿ׾㖪⻉׵ֵ׾סךյ׷׷׆׊ַ׵ס מחַיעٛ٤ؠ؅魂׽ױ׊גն 17