Emer Emergenc ence o e of O f Obj bjec ect S Seg egmen - - PowerPoint PPT Presentation

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Emer Emergenc ence o e of O f Obj bjec ect S Seg egmen - - PowerPoint PPT Presentation

Emer Emergenc ence o e of O f Obj bjec ect S Seg egmen mentatio ion n in P in Per ertur urbed Gener bed Generativ ive M e Models dels Adam Bielski, Paolo Favaro University of Bern Ob Object se segm gmentation Segmentation


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Emer Emergenc ence o e of O f Obj bjec ect S Seg egmen mentatio ion n in P in Per ertur urbed Gener bed Generativ ive M e Models dels

Adam Bielski, Paolo Favaro University of Bern

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Ob Object se segm gmentation

Segmentation model

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Ob Object se segm gmentation

Segmentation model Annotated data

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Ob Object se segm gmentation

Segmentation model Annotated data

  • Human annotated
  • Expensive
  • Expertise knowledge

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Un Unsuper ervis vised ed objec ject t seg egmen entatio tion

Segmentation model Annotated data

  • Human annotated
  • Expensive
  • Expertise knowledge

Can we do it without labels?

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Un Unsuper ervis vised ed ob

  • bject se

segm gmentation

G E

Image Mask

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Le Learn rning to to ge generate la layer ered ed sc scenes wi with GA GAN

G E

Image

𝑨~𝒪(0, 𝐽) Background Foreground Mask

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Le Learn rning to to ge generate la layer ered ed sc scenes wi with GA GAN

G E

Image

𝑨~𝒪(0, 𝐽) Background Foreground Mask = + ⊙ ⊙

Background 1 - Mask Foreground Mask Composite image

Image composition

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Le Learn rning to to ge generate la layer ered ed sc scenes wi with GA GAN

D Real / Fake G E

Image

𝑨~𝒪(0, 𝐽) Background Foreground Mask Unlabeled real images = + ⊙ ⊙

Background 1 - Mask Foreground Mask Composite image

Image composition

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De Degenerate s solu lutio ions

Background Foreground Mask Composite image

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De Degenerate s solu lutio ions

Background Foreground Mask Composite image

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De Degenerate s solu lutio ions

Background Foreground Mask Composite image

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De Degenerate s solu lutio ions

Background Foreground Mask Composite image

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Wha What is is a c a correct ect par partit itio ion? n?

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Wha What is is a c a correct ect par partit itio ion? n?

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Ra Rando ndom m shi hifts

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Ra Rando ndom m shi hifts

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Ra Rando ndom m shi hifts

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Ra Rando ndom m shi hifts

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Ra Rando ndom m shi hifts

Valid partition ⟹ valid scene after a small shift Invalid partition ⟹ invalid scene after a small shift

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Av Avoiding degenerate solutions

Background Foreground Mask Composite image Composite image w/shift

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Av Avoiding degenerate solutions

Background Foreground Mask Composite image Composite image w/shift

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Av Avoiding degenerate solutions

Background Foreground Mask Composite image Composite image w/shift

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Av Avoiding degenerate solutions

Background Foreground Mask Composite image Composite image w/shift

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Av Avoiding degenerate solutions

Background Foreground Mask Composite image Composite image w/shift Add a loss term to avoid empty masks

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Av Avoiding degenerate solutions

Background Foreground Mask Composite image Composite image w/shift Add a loss term to avoid empty masks

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Image composition = + ⊙ ⊙

Background 1 - Mask Foreground Mask Composite image

Le Learn rning wi with per pertur urba bations ns

G E

Image

𝑨~𝒪(0, 𝐽) Background Foreground Mask Minimum mask loss

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Image composition = + ⊙ ⊙

Background 1 – Mask shifted Foreground shifted Mask shifted Composite image (fake)

Le Learn rning wi with per pertur urba bations ns

D Real / Fake G E

Image

𝑨~𝒪(0, 𝐽) Background Foreground Mask Minimum mask loss Real image Random shift 𝑞~𝒱

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Ge Generatio tion results lts

Backgond Foegond Mak Foegond /mak Comoie image Backgond Foegond Mak Foegond /mak Comoie image

LSUN Car LSUN Bird LSUN Chair LSUN Horse

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Image composition = + ⊙ ⊙

Background 1 - Mask Foreground Mask Composite image

Le Learn rning to to se segm gment

G Background Foreground Mask

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Image composition = + ⊙ ⊙

Background 1 - Mask Foreground Mask Composite image

Le Learn rning to to se segm gment

G Background Foreground Mask Frozen

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Image composition = + ⊙ ⊙

Background 1 - Mask Foreground Mask Composite image

Le Learn rning to to se segm gment

G E

Image

Background Foreground Mask Frozen 𝑀1 𝑀𝑝𝑡𝑡

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Image composition = + ⊙ ⊙

Background 1 - Mask Foreground Mask Composite image

Le Learn rning to to se segm gment

G E

Image

Background Foreground Mask Frozen 𝑀1 𝑀𝑝𝑡𝑡

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Se Segme mentation

  • n r

results

Real image O mehod Mak R-CNN Real image Our method Ground truth

Real image Our results Approx. ground truth Real image Our results Ground truth

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Po Poster #60 East Exhibition Hall B + C

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