HIJ
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SessionRecordingsEvent
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OpeningLinkOpening (Slides)
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Session 1: Future of ImageNetLinkOlga Russakovsky & Kaiyu Yang (Slides)
- Fairness and privacy aspects of ImageNet
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LinkVittorio Ferrari
- OpenImages: one dataset for many computer vision tasks
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LinkMatthias Bethge
- Object recognition in machines and brains
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LinkPanel:
- Olga Russakovsky
- Kaiyu Yang
- Vittorio Ferrari
- Matthias Bethge
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BreakBreak
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Poster session ALinkSpotlight - ResNet strikes back: An improved training procedure in timm
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Paper
List		Poster A
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Session 2: Did we solve ImageNet?LinkRebecca Roelofs
- Is ImageNet Solved?: Evaluating Machine Accuracy
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LinkShibani Santurkar
- From ImageNet to Image Classification
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LinkAlex Kolesnikov
- Are we done with ImageNet?
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LinkPanel:
- Rebecca Roelofs
- Shibani Santurkar
- Alex Kolesnikov
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BreakBreak
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Session 3: Perspectives on ImageNetLinkSharon Yixuan Li (Slides)
- Uncovering the Deep Unknowns of ImageNet Model: Challenges and Opportunties
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LinkRoss Wightman
- ImageNet models from the trenches
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LinkDawn Song & Dan Hendrycks
- Using ImageNet to Measure Robustness and Uncertainty
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LinkPanel:
- Ross Wightman
- Dawn Song
- Dan Hendrycks
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BreakBreak
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Session 4: Societal aspects of ImageNetLinkEmily Denton & Alex Hanna (Slides)
- ImageNets of "x": ImageNet's Infrastructural Impact
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LinkPanel:
- Emily Denton
- Alex Hanna
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BreakBreak
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Poster session BLink
Spotlight - Learning Background Invariance Improves Generalization and Robustness in Self Supervised Learning on ImageNet and Beyond
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Paper
List		Poster B
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ClosingLinkClosing & awards (Slides)