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論文紹介 / Connecting Vision and Language with Video Localized Narratives
第59回 コンピュータビジョン勉強会@関東 CVPR2023読み会(前編) にて、
"Connecting Vision and Language with Video Localized Narratives" [Voigtlaender et al., CVPR 2023]
のご紹介をさせていただきました。
◆イベント詳細 URL:
https://kantocv.connpass.com/event/288899/
◆発表日:
2023/07/23
◆紹介論文のプロジェクトページ
https://google.github.io/video-localized-narratives/
◆紹介論文の PDF
https://openaccess.thecvf.com/content/CVPR2023/papers/Voigtlaender_Connecting_Vision_and_Language_With_Video_Localized_Narratives_CVPR_2023_paper.pdf
(2023/09/02 スライドを修正版に差し替えました。誤字脱字の修正等を行なっています。)
Yusuke Mori
July 23, 2023
Transcript
51 slides
-
Connecting Vision and Language with Video Localized Narratives shade-tree Twitter:
@shade_tree2112 [PDF] [Project Page of the paper] 第59回 コンピュータビジョン勉強会@関東 CVPR 2023 読み会 2023/07/23 1 このスライド -
ࠓճհ͢ΔจΛܾΊΔաఔͰɺߟ͑ͨ͜ͱ • ʮAward Candidates Ͱ͋Δ “Ego-Body Pose Estimation via Ego-Head
Pose Estimation” ɺલճհͯ͠͠·ͬͨ……ʯʢએʣ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 3 Ego-Body Pose Estimation via Ego-Head Pose Estimation shade-tree Twitter: @shade_tree2112 [Project Page] 第58回 コンピュータビジョン勉強会@関東 「深層学習+3D論⽂読み会」 2023/04/30 1 -
ࠓճհ͢ΔจΛܾΊΔաఔͰɺߟ͑ͨ͜ͱ • CVPR 2023 Accepted Papers • https://cvpr2023.thecvf.com/Conferences/2023/AcceptedPapers • ͜͜Ͱɺaward
candidates, highlights ͳͲͷใΛؚΉϦετ͕ެ։ • https://docs.google.com/spreadsheets/d/1OAUf7sQfJ6cSU4BiOtyl- t4dMm4iFqdEDHCSs7R2jZo • ͜ͷϦετ͔Β୳͢ • Highlight Ͱݕࡧ͢ΔɺStory, Stories, Narrative ͱ͔Ͱݕࡧ͢Δ • “Vision and Language” Ͱ “Narratives” ! ͜Εʹ͠Α͏ʂ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 4 -
ൃදऀͷཱɾࢹ • CV ษڧձͰɺҎԼͷจΛհ͍͖ͤͯͨͩ͞·ͨ͠ • “A Hierarchical Approach for Generating
Descriptive Image Paragraphs” [Krause et al., CVPR 2017] • “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale” [Dosovitskiy et al., ICLR 2021] • “Transitional Adaptation of Pretrained Models for Visual Storytelling” [Yu et al., CVPR 2021] • “Panoptic Narrative Grounding” [González et al., ICCV 2021] • “GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation” [Xu et al., ICLR 2022] • “It is Okay to Not be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection” [Mohamed et al., CVPR 2022] • “Ego-Body Pose Estimation via Ego-Head Pose Estimation” [Li et al., CVPR 2023] • ͜ͷϖʔδͰݴ͍͍ͨ͜ͱɿ ʢࣗͷͷ͍͕ɺʣCV ษڧձͰ༷ʑͳจ͕հ͞ΕɺϩάࢀߟʹͳΔʂ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 5 -
ࠓճͷจͱಛʹؔ͢Δͷ • CV ษڧձͰɺҎԼͷจΛհ͍͖ͤͯͨͩ͞·ͨ͠ • “A Hierarchical Approach for Generating
Descriptive Image Paragraphs” [Krause et al., CVPR 2017] • “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale” [Dosovitskiy et al., ICLR 2021] • “Transitional Adaptation of Pretrained Models for Visual Storytelling” [Yu et al., CVPR 2021] • “Panoptic Narrative Grounding” [González et al., ICCV 2021] • “GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation” [Xu et al., ICLR 2022] • “It is Okay to Not be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection” [Mohamed et al., CVPR 2022] • “Ego-Body Pose Estimation via Ego-Head Pose Estimation” [Li et al., CVPR 2023] 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 6 -
Localized Narratives ͷܥේ • Localized Narratives [Pont-Tuset et al., ECCV
2020] • Panoptic Narrative Grounding [González et al., ICCV 2021] • Ҏલʹհͨ͠ͷ • Video Localized Narratives [Voigtlaender et al., CVPR 2023] • ࠓճհ͢Δͷ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 8 -
Localized Narratives [Pont-Tuset et al., ECCV 2020] 2023/07/23 9 •
ϚϧνϞʔμϧը૾ΞϊςʔγϣϯͷܗࣜΛఏҊ • ԻͰΞϊςʔγϣϯΛߦ͏ͱಉ࣌ʹɺࢹ͢Δ෦ΛϚεΦʔόʔʢϗόʔʣ • ԻͱϚεͷಈ͖͕ಉظ͍ͯ͠ΔͷͰɺ֤୯ޠͱը૾தͷҐஔΛରԠ͚ΒΕΔ ୈճ$7ษڧձ!ؔ౦ -
[෮श] Panoptic Narrative Grounding ʢ̍ʣ • ͜ͷจͰఏҊ͞ΕͨλεΫͷ໊শ • ୯ޠϨϕϧ͔Β͏গ͠ৄ͘͠ݟ͍ͯ͘ •
Panoptic ͬͯʁ • ύϊϥϚతͳɺશମΛҰͰݟͤΔ • pan (= all) + optic • Panoptic Segmentation [Kirillov et al., CVPR 2019] Λ͏ • Narrative ͬͯʁ • Story ͱಉٛͰΘΕΔ͜ͱ͋Δ͕ɺ͍͚Δ߹ɺΑΓ͍֓೦ɻ༁ ͚͠ΔͳΒɺNarrative ʮޠΓʯ • ͨͱ͑ɺ͜ͷલ্ɺStory Ͱͳ͍͔͠Εͳ͍͕ Narrative ͩͱݴ͑Δ • Localized Narratives [Pont-Tuset et al., ECCV 2020] ͕ॏཁͳઌߦݚڀ 2023/07/23 10 ୈճ$7ษڧձ!ؔ౦ -
[෮श] Panoptic Narrative Grounding ʢ̎ʣ • Grounding ͬͯʁ • ͜͜ͰɺγϯϘϧάϥϯσΟϯάʢSymbol
Groundingʣͱಉ༷ͷ ΘΕํ • ը૾Λͬͨ Grounding ͳͷͰɺ Visual Grounding ͱ͍͏༻ޠ͕จதʹසग़ • Symbol Grounding Harnad [1990] ʹΑΓఏএ [link] • This paper describes the "symbol grounding problem": How can the semantic interpretation of a formal symbol system be made intrinsic to the system, rather than just parasitic on the meanings in our heads? How can the meanings of the meaningless symbol tokens, manipulated solely on the basis of their (arbitrary) shapes, be grounded in anything but other meaningless symbols? 2023/07/23 11 ୈճ$7ษڧձ!ؔ౦ -
[෮श] Panoptic Narrative Grounding ʢ̏ʣ • ͬ͘͟ΓͱɺҎԼͷΑ͏ͳͷͰ͋Δͱߟ͑ΒΕΔ • શମΛҰͰݟͤΔΑ͏ͳը૾ʹɺ •
୯ޠͰͳ͘ Narrative Λɺ • άϥϯσΟϯά͢Δʢ͢ΔɺରԠ͚Δʣ 2023/07/23 12 ୈճ$7ษڧձ!ؔ౦ -
[෮श] Panoptic Narrative Grounding ʢ̐ʣ • ը૾ͱͷΈ߹ΘͤʹΑΔݴޠͷάϥϯσΟϯάʢVisual GroundingʣͷϑϨʔϜϫʔΫ͜Ε·Ͱʹ͋Δ͕ɺཻʹ ͕͋Δ •
ݴޠʹৄ͍͠Ξϊςʔγϣϯ͕͍ͨͷଘࡏ͢Δ͕ɺ ը૾ͷΞϊςʔγϣϯ·ͩૄͰૈ͍ 2023/07/23 13 ୈճ$7ษڧձ!ؔ౦ -
[෮श] Panoptic Narrative Grounding ʢ̑ʣ • Panoptic Narrative Grounding ͷఏҊ
• panoptic segmentation regions Λ Visual Grounding ͱͯ͠༻͍ɺ natural language visual grounding problem Λ৽ͨʹఆࣜԽ • λεΫɺσʔληοτɺࢦඪɺख๏ΛఏҊͨ͠ 2023/07/23 14 全部乗せ! ୈճ$7ษڧձ!ؔ౦ -
հจͷ֓ཁʢ̍ʣ • Video Localized Narratives (VidLN) ΛఏҊ • ੩ࢭըͰͳ͘ɺಈըͰͷ Localized
Narratives • ಈըΛΞϊςʔγϣϯ͢ΕɺޠશମΛݟΒΕΔ • ΠϕϯτͷྲྀΕ͕͋Δ • ෳͷਓΦϒδΣΫτ͕ొ͠ɺ૬ޓʹ࡞༻͢Δ • ͔͠͠ɺ੩ࢭըʹൺͯΞϊςʔγϣϯ͕͍͠ • Ξϊςʔλʔʹͱͬͯɺ࣌ؒͱͷڝ૪ (race against time) 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 16 -
հจͷ֓ཁʢ̎ʣ • VidLN ͷͨΊʹɺ৽͍͠ΞϊςʔγϣϯͷϓϩτίϧΛఏҊ • ෳͷਓ͕ొɺΦϒδΣΫτ͕ग़ݱ͠ɺෳࡶͳΠϕϯτ͕ى͖Δ ಈըͰɺΞϊςʔγϣϯ͕Մೳʹ • ༷ʑͳλεΫʹ͑Δྑ࣭ͳσʔληοτ •
ྫɿVideo Narrative Grounding, Video Question Answering 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 17 -
จͷߏ • Abstract • 1. Introduction • 2. Related Work
• “Tasks Related to VNG.” ͷ߲ͰɺPanoptic Narrative Grounding ͱͷࠩҟʹݴٴ • 3. Video Localized Narrative Annotations • Ξϊςʔγϣϯͷํ๏ʹ͍ͭͯ • 4. Video Narrative Grounding (VNG) • ϕϯνϚʔΫͱͯ͠ͷԠ༻ɿྫ̍ • 5. Video Question Answering (VideoQA) • ϕϯνϚʔΫͱͯ͠ͷԠ༻ɿྫ̎ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 20 -
Panoptic Narrative Grounding ͱͷࠩҟ • Panoptic Narrative Grounding • શମΛݟΔΑ͏ͳηάϝϯςʔγϣϯΛߦ͏
• ੩ࢭըͷΩϟϓγϣϯʹݱΕΔ໊ࢺͷάϥϯσΟϯά • Video Narrative Grounding (VNG,ࠓճѻ͏λεΫͷҰͭ) • ಈըΛରͱ͠ɺ۩ମతͳΦϒδΣΫτΛରͱ͢Δ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 21 -
̑εςοϓͷΞϊςʔγϣϯ ᶃ Understand the Video ᶄ Actor Selection ᶅ Key-frame
Selection ᶆ A Story for each Actor ᶇ Transcription and Time Alignment 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 23 -
̑εςοϓͷΞϊςʔγϣϯ ᶆ Speak and move mouse ΞϊςʔγϣϯͷϝΠϯύʔτ • ݸผͷΞΫλʔʹ͍ͭͯɺબ͞ΕͨΩʔϑϨʔϜʹର͠ɺޱ಄Ͱઆ໌ •
ΞΫλʔ໊ɺΞτϦϏϡʔτɺΞΫγϣϯɺ૬ޓ࡞༻͍ͯ͠ΔଞͷΦϒδΣΫτ • આ໌͠ͳ͕ΒɺϚεϙΠϯλʔΛಈ͔͠ɺΦϒδΣΫτΞΫγϣϯΛࢦࣔ͢͠ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 26 -
Statistics • ̏ͭͷσʔληοτʹΞϊςʔγϣϯΛ༩ • OVIS [Qi et al., IJCV 2022],
UVO [Sadhu et al., NAACL 2021] , Oops [Epstein et al., CVPR 2020] • Total • 20K videos • 1,65M words • 3.54 actors / video 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 29 -
Statistics: ؔ࿈σʔληοτͱͷൺֱʢٙʣ • Actors / narr ʹ͍ͭͯɺ̏छͰ max 3.45 ͳͷʹɺ
All ͩͱ 3.54? • 71,976 / 22,091 = 3.26 Ͱܭࢉ݁Ռ͕߹Θͳ͍ • จதͷิࣄ߲Λݟམͱ͍ͯ͠Δʁ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 31 -
Statistics: ΩϟϓγϣϯͷϦον͞ͷ֬ೝ • ActivityNet-Entities [Zhou et al., CVPR 2019] ͱ
ൺֱͯ͠ɺϦονͳΩϟϓγϣϯ • ͘ʢฏۉ 75.1 wordsʣɺࢺผͰ ଟ͘ͷ୯ޠΛؚΉ • 23.0 nouns • 9.5 verbs • 8.5 adjectives • 7.2 adpositions • 2.4 pronouns 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 32 -
Statistics: Ωϟϓγϣϯͷਖ਼֬ੑ • Semantic Accuracy ͱ Localization Accuracy ͷ֬ೝ •
Semantic Accuracy ʢ্දʣ • 70 ಈըΛϥϯμϜʹબͼɺ໊ࢺ۟ͱಈࢺΛ֬ೝ → ΄΅ᘳ • Localization Accuracy • ੩ࢭըͷ Localized Narrative (ImLN) ͷσʔληοτͱൺͯߴਫ਼ʢ+25%ʣ → ఏҊͨ͠ϓϩτίϧ༗༻ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 33 -
ఏҊͨ͠σʔληοτʢVidLNʣͷ׆༻ • ༷ʑʹԠ༻Ͱ͖Δ͕ɺ۩ମྫͱͯ̎͠छͷϕϯνϚʔΫΛఏҊ • Video Narrative Grounding (VNG) → Sec.
4 • Video Question Answering (VideoQA) → Sec. 5 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 34 -
VNG: λεΫͷఆٛ • ೖྗɿ • φϥςΟϒ͕ςΩετͰ༩͞ΕͨಈըͰɺಛఆͷ໊ࢺʹҹ • ग़ྗɿ • ҹͷ໊͍ͭͨࢺͷͦΕͧΕʹର͢ΔηάϝϯςʔγϣϯϚεΫ
2023/07/23 ୈճ$7ษڧձ!ؔ౦ 35 -
VNG: ॏཁͳνϟϨϯδ • ಉ໊͡ࢺ͕ࢦ͢ΦϒδΣΫτ͕ɺෳ͋Δ͜ͱ͕͋Δ • ্ͷྫͰ “parrot ʢᳳʣ” ͚ͩͰಛఆͰ͖ͳ͍ •
“a red-black neckline” ͷใΘͳ͍ͱ͍͚ͳ͍ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 36 -
VNG: ख๏ • ReferFormer [Wu et al., CVPR 2022] Λվྑͨ͠ɺReferFormer-VNG
• ݩͷख๏ • Referring Video Object Segmentation (R-VOS) λεΫ༻ͷͷ • ͍આ໌ɺ୯ҰͷΦϒδΣΫτ • Visual Encoder Ͱɺಈը͔Βಛநग़ • Text Encoder ͰɺςΩετ͔Βಛநग़ • ͜ΕΒͷಛΛ Decoder ʹೖΕɺ֤ϑϨʔϜʹ͓͍ͯϚεΫΛੜ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 37 -
VNG: ख๏ • VNG Ͱɺಉ໊͡ࢺͰද͞ΕΔෳͷΦϒδΣΫτ͕͋Δ • Text Encoder ͷॲཧΛมߋ •
ReferFormerɿ τʔΫϯ͝ͱͷಛ + ςΩετશମͷಛ • ςΩετશମ͕ಉҰͷΦϒδΣΫτΛࢦࣔ͢͠ͷͰɺ༗༻ • ReferFormer-VNGɿ ηάϝϯτ໊͍ͨ͠ࢺʹରԠͨ͠τʔΫϯͷಛͷ average-pool • ʢະ֬ೝʣτʔΫϯ͝ͱͷಛͱ average-pool ͷ྆ํ͔ɺޙऀ͚͔ͩ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 38 -
VNG: ධՁࢦඪͱɺϕʔεϥΠϯͷ݁Ռ • ධՁࢦඪɿ 𝒯&ℱ [Pont-Tuset et al., 2018] •
The 2017 DAVIS Challenge on Video Object Segmentation ͷͷ • ϕʔεϥΠϯɿReferFormer • VNG λεΫͷੑ্࣭ɺ Narrative શମΛೖΕΔΑΓɺNoun ͚ͩͷ΄͏͕ͪΐͬͱྑ͍ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 39 -
VNG: ఏҊख๏Ͱͷ݁Ռ • ϕʔεϥΠϯͱൺΔͱྑ͘ɺᐆດੑΛղܾͰ͖͍ͯΔ • Ұ൪্ͷྻͷ݁Ռ͕Ұ൪ྑ͍ • ेʹֶश͞Ε͍ͯΔͷͰɺOVIS-VNG Ͱͷ fine-tuning
Ͱͦ͜·Ͱ ਫ਼্͕͍ͯ͠ͳ͍ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 40 -
ʲ࠶ܝʳఏҊͨ͠σʔληοτʢVidLNʣͷ׆༻ • ͍Ζ͍ΖͳԠ༻͕Ͱ͖Δ͕ɺ۩ମྫͱͯ̎͠छ • Video Narrative Grounding (VNG) → Sec.
4 • Video Question Answering (VideoQA) → Sec. 5 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 41 -
VideoQA • Text-output Questions • ࣗ༝هड़ͷճ ※ ൃද࣌ؒΛߟྀͯ͠ɺઆ໌ΛׂѪ͠·͢ʢεϥΠυ Appendix ʹ͋Γ·͢ʣ
• Location-output Questions • “where is” Ͱ࢝·Δ࣭ʹɺಈը্Ͱͷ࣌ؒͱۭؒͷಛఆͰճ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 42 -
VideoQA: Location-output ͷ Q&A ࡞ • ࣗಈੜ • spaCy Λͬͯ
part-of-speech λά parse tree Λ༩ • “where the subject is” ͷ࣭ʹม • 3.7 questions / video • ϚεͷτϨʔεͷใΛͬͯਖ਼ղΛ࡞Δ • ਓؒʹΑΔνΣοΫ • ̎ਓ͕νΣοΫɺͲͪΒ͔Β߹֨ͱͳͬͨͷͷΈ͢ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 43 -
VideoQA: Location-output ͷ݁Ռ • ReferFormer-VNG ΛϕʔεϥΠϯͱͯ͠༻ • “where is” ͱ͍͏୯ޠΛ࣭͔ΒΓɺจதͷ࠷ॳͷ໊ࢺΛରʹ
ReferFormer-VNG ͰηάϝϯςʔγϣϯϚεΫΛग़ྗ • ϚεΫΛ bounding box ʹม • ݁Ռ • Recall: 66.7% • Precision: 53.9% • ྑ͍݁Ռ͕ͩᘳʹఔଟ͍ɻఏҊͨ͠ϕϯνϚʔΫʹՁ͕͋Δ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 45 -
݁ • Video Localized Narratives ΛఏҊ • ΞϊςʔγϣϯͷϓϩτίϧΛఏҊ • ߏஙͨ͠σʔληοτͰϕϯνϚʔΫΛఏҊ
2023/07/23 46 ୈճ$7ษڧձ!ؔ౦ -
Story ͱ Narrative ʹ͍ͭͯɺ͏গ͠ৄ͘͠ • Oxford Learner’s Dictionary of Academic
English [2014] ʹΑΔ ͱɺ • Story 1. a description, often spoken, of what happened to sb or of how sth happened • Narrative 1. [C] a description of events, especially in a novel [synonym] story (1) 2. [U] the act, process or skill of telling a story • Localized Narratives ͷ Narrative ཁૉʁ • ʢΞϊςʔλͷࢹ͢Δʣ࣌ܥྻΛ͏ • ࠓճͦͦ Video Ͱɺ Narrative શମΛѻ͑Δ 2023/07/23 48 ୈճ$7ษڧձ!ؔ౦ -
VideoQA: Text-output ͷ Q&A ࡞ • ࣗಈੜ • VQ2A [Changpinyo
et al., NAACL 2022] ʹΑΔ • ࣗಈͰɺճ͕ॏෳ͢ΔͷΛআ͘ͳͲͷॲཧΛߦ͏ • ਓؒʹΑΔνΣοΫ • “What color is the sky?” • ಈըΛݟͳͯ͘ճͰ͖Δͷ • “What color is the cat?” • ಈըʹෳͷೣ͕ग़͍ͯͨΒɺճ͕ᐆດ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 49 -
VideoQA: Text-output ͷ Q&A ͷྫ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 50 Q: “What
falls out of the man’s hand?” , A: “dog” -
VideoQA: Text-output ͷ݁Ռ • PaLI [Chen et al., ICLR 2023]
ΛϕʔεϥΠϯͱͯ͠༻ • PaLI-1.5B • Ground-truth ͱͷ exact-match ͰධՁ • ୯ҰϑϨʔϜͰͷ݁Ռ • Zero-shot Ͱ 24.1% • Fine-tuned (on Oops-QA) Ͱ 44.9% • ఏҊͨ͠ϕϯνϚʔΫෳࡶͳͷͰɺख๏վળͷ༨͋Γ 2023/07/23 ୈճ$7ษڧձ!ؔ౦ 51