LINE's 3D Recognition Technology and Future Prospects

LINEの3D認識技術と今後の展望
井尻善久（LINE株式会社）
MLAI-TALK #1 での発表資料です
https://line.connpass.com/event/231314/

Transcript

1. LINEの3D認識技術と今後の展望 LINE CVL Yoshihisa IJIRI
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5. 5 LINEの藤原師匠 CVPRやICCVにバンバン通していた （それで私もジョインした！）
6. ͳͥ఺܈ʁ
7. ը૾ ✔ ࠲ඪܥ ✔ ॱং ✔ εέʔϧ ఺܈ ʁ ࠲ඪܥ ʁ ॱং ʁ εέʔϧ ఺܈ͷ೉͠͞
8. ՝୊Λ৐Γӽ͑ΔͨΊओʹΞϓϩʔνଘࡏ Point-based: Qi et al. [CVPR 2017] Alternative representation: Sinha et al. [ECCV 2016] Voxel based: Wu et al. [CVPR 2015] Image-based: Kanezaki et al. [CVPR 2018]  αΠζ  ϝογϡ͕ඞཁ  લॲཧ͕ඞཁ  ࠲ඪ஋ ؔ਺ͱͯ͠දݱ͢Ε͹Α͍ͷͰ͸ʁ ओͳղੳख๏
9. • ಛ௃ͱͯ͠ωοτϫʔΫͷॏΈΛར༻ • લॲཧʴಛघͳωοτϫʔΫΛ࠾༻͢Δ͜ͱʹΑΓ࠲ඪɾεέʔϧෆมʹ https://github.com/kentfuji/NeuralEmbedding /FVSBM
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10. ը૾ ✔ ࠲ඪܥ ✔ ॱং ✔ εέʔϧ ఺܈ ʁ ࠲ඪܥ ✔ ॱং ✔ εέʔϧ ఺܈ͷ೉͠͞
11. model chair bed ʜ table   ʜ    ʜ  ճసෆมͷ࣮ݱ
12. A Closer Look at Rotation-Invariant Deep Point Cloud Analysis [Li and Fujiwara+, ICCV2021]
13. • ओ੒෼෼ੳͷ࣠ͷ૊Έ߹ΘͤͰճసΛࣔ͢΋ͷΛಛఆ • 4FMFDUPSϞδϡʔϧΛఏҊ͠࠷దͳ࢟੎ͷநग़Λ࣮ݱ MLP major network pooling softmax ! 24 3N N 3 A Closer Look at Rotation-Invariant Deep Point Cloud Analysis [Li and Fujiwara+, ICCV2021]
14. ը૾ ✔ ࠲ඪܥ ✔ ॱং ✔ εέʔϧ ఺܈ ✔ ࠲ඪܥ ✔ ॱং ✔εέʔϧ ఺܈ͷ೉͠͞
15. ϊΠζͷଘࡏ΍ରԠؔ܎͕ະ஌ͷ৔߹ɽɽɽ
16. 𝐴!! 𝐴!" ⋯ 𝐴!# 𝐴"! 𝐴"" ⋯ 𝐴"# ⋮ 𝐴$! ⋮ 𝐴$" ⋱ ⋮ ⋯ 𝐴$# 𝐱 = 𝑏! 𝑏" ⋮ 𝑏$ min 𝐱 𝐀𝐱 − 𝐛 " " ఺܈" C͕༩͑ΒΕͨ৔߹ɼม׵YΛٻΊΔ 順序が必要！ ઢܗճؼ (Linear Regression)
17. ఺܈" C͕༩͑ΒΕͨ৔߹ɼஔ׵ߦྻ1ͱม׵YΛٻΊΔ 同じ点数が必要！ min 𝐱, 𝐏 𝐀𝐱 − 𝐏𝐛 " " 𝐴!! 𝐴!" ⋯ 𝐴!# 𝐴"! 𝐴"" ⋯ 𝐴"# ⋮ 𝐴$! ⋮ 𝐴$" ⋱ ⋮ ⋯ 𝐴$# 𝐱 = ⋮ 𝑏$ 𝑏" 𝑏! 𝐏() ∈ {0, 1} 5 ( 𝐏() = 1 5 ) 𝐏() = 1 Shuffled Linear Regression [Ashwin+, 2017]
18. ఺܈" C͕༩͑ΒΕͨ৔߹ɼஔ׵ߦྻ1ͱม׵YΛٻΊΔ 外れ値と順序の特定が可能！ min 𝐱, 𝐏 𝐀𝐱 − 𝐏𝐛 " " 𝐴!! 𝐴!" ⋯ 𝐴!# 𝐴"! 𝐴"" ⋯ 𝐴"# ⋮ 𝐴$! ⋮ 𝐴$" ⋱ ⋮ ⋯ 𝐴$# 𝐱 = ⋮ 𝑏$ 𝑏" 𝑏! 𝐏() ∈ {0, 1} 5 ( 𝐏() ≤ 1 5 ) 𝐏() ≤ 1 5 (,) 𝐏() = 𝑘 Generalized Shuffled Linear Regression [Li and Fujiwara+, ICCV2021]
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20. ̏DʴTime = Motion Motion + Linguistics = Cmd2motion ͜Ε͔Βɾɾɾ
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25. 25 岡本さんから 次回以降に紹介！
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33. ⾃由度が⾼い発話のリアルタイム認識で⾃然な会話の 書き起こしを実現！ ։ൃதͷٕज़ 4QFFDI CLOVA note
34. %// Ի੠߹੒ ʙײ৘Λॊೈʹ੍ޚՄೳͳԻ੠߹੒Λ࣮ݱʙ COntrollable, High-quality, And expRessIve TTS 明るさ 暗さ 😀 😄 🙂 😐 😢 😰 😥 ։ൃதͷٕज़ʢ7PJDFʣ
35. HyperCLOVA 1750億超のパラメータを有する汎⽤⾔語モデルを開発 ։ൃதͷٕज़ʢ/-1ʣ
36. 国会図書館デジタルアーカイブ プロジェクト 247万点2.23億ページ超のデジタル・アーカイブ化 ։ൃதͷٕज़ʢ$7-ʣ https://linecorp.com/ja/pr/news/ja/2021/3825
37. ੜ׆΍ϏδωεʹજΉ൥Θ͠͞Λղܾ͠ ͜Ε͔Βͷ͋ͨΓ·͑Λ૑Γग़͢ʂ Ұྲྀʹͩ͜ΘΔΠϯλʔφγϣφϧͳνʔϜ
39. Our challenge Innovation by mixing LINE AI assets, especially NLP, voice/speech, and CV .JYFE
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    1-"$& ϨγʔτΛ"*ͰಡΈऔΔ͜ͱͰɺֹۚͱ඼໨͕ࣗಈͰ෼ྨɻ ࢧग़؅ཧ΍ར༻͓ͨ͠ళͷޱίϛαΠτ΁ͷ౤ߘͳͲ͕؆୯ʹɻ $-07"
    0$3ಋೖࣄྫ
46. 46 STRICTLY CONFIDENTIAL $POGJEFOUJBM -*/&
    "J$BMM Point 1 ϢʔβʔΛ଴ͨͤͳ͍ར༻ମݧ Point 2 ਓؒຯ͋;ΕΔࣗવͳର࿩ Point 3 طଘγεςϜ΍-*/&ͱͷ࿈ܞ ࣌ؒ೔ɺडిମ੍Λ༻ҙͰ͖Δ͜ͱ͸΋ͪΖΜɺ൪߸ೖྗͰରԠ ಺༰ΛৼΓ෼͚Δ*73ʢ*OUFSBDUJWF
    7PJDF
    3FTQPOTFʣͱ͸ҟͳΓɺॊೈ ʹରԠ͠·͢ɻ ཈༲ͷ͋Δਓؒʹ͍ۙࣗવͳԻ੠ͰɺϢʔβʔʹετϨεΛֻ͚·ͤΜɻ ·ͨɺ"*ʹΑΔԻ੠ೝࣝͷֶशʹΑΓɺԻ੠ೝࣝͱର࿩ͷਫ਼౓͕޲্͠ɺ ରԠ඼࣭͕޲্͠·͢ɻ ͜Ε·ͰՍిडిޙʹߦ͍ͬͯͨΞφϩάͳσʔλ੔උۀ຿΋ɺγες Ϝ࿈ܞʹΑΓܰݮ͠·͢ɻ·ͨɺ-*/&΍4.4ͱ࿈ܞ͢Δ͜ͱͰɺ௨࿩ޙ ʹϢʔβʔʹࣗಈͰϝοηʔδΛૹ৴͢Δ͜ͱ΋ՄೳͰ͢ɻ
47. 47 STRICTLY CONFIDENTIAL ϠϚτӡ༌גࣜձࣾ ސ٬͔Βͷి࿩ʹΑΔूՙड෇ ਆಸ઒ݝ ৽ܕίϩφి࿩૬ஊ૭ޱ גࣜձࣾΤϏιϧ ҿ৯ళ޲͚༧໿؅ཧγεςϜ גࣜձࣾΧʔϑϩϯςΟΞ Χʔϝϯςφϯε༧໿αʔϏε େखاۀͷۀ຿ʹಋೖ ެڞߦ੓ͷෛ୲ܰݮ ϓϥοτϑΥʔϜͱͷػೳ࿈ܞ -*/&
    "J$BMM ಋೖ࣮੷
48. 48 STRICTLY CONFIDENTIAL -*/&
    F,:$ Point ߴਫ਼౓ͷΦϯϥΠϯຊਓ֬ೝ -*/& F,:$͸ɺ-*/&͕։ൃͨ͠"*ٕज़Λ૊Έ߹Θͤɺ҆શੑͱརศੑΛ ཱ྆ͨ͠ɺΦϯϥΠϯ্Ͱͷຊਓ֬ೝΛ׬݁͢ΔιϦϡʔγϣϯͰ͢ɻ "1*΍4%,ͳͲ๛෋ͳఏڙํ๏ʹΑΓɺར༻໨తʹ͋ͬͨΧελϚΠζ͕ ՄೳͰ͢ɻखଓ͖ͷ؆ུԽʹΑͬͯɺۀ຿ޮ཰ԽɾϢʔβʔ΁ͷརศੑ ఏڙɺͳΓ͢·͠ʹΑΔෆਖ਼ΞΫηεɾෆਖ਼ར༻ͷ๷ࢭΛ࣮ݱ͠·͢ɻ
49. 49 STRICTLY CONFIDENTIAL -*/&
    1BZ εϚϗͱ਎෼ূ͕͋Ε͹Ͱ͖ΔʮεϚϗͰ͔ΜͨΜຊਓ֬ೝʯ -*/&
    1BZͰͷಋೖ -*/&
    F,:$ ಋೖࣄྫ