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The 3D-PC: a benchmark for visual perspective taking in humans and machines
2025-01-22
· ICLR 2025 Poster ·
anchor
Findings
IC-257
327 DNNs approach or exceed human accuracy on object depth order but are near chance on VPT-basic, while humans show the opposite pattern
IC-258
DNN accuracy on 3D perception tasks correlates with ImageNet object classification accuracy, suggesting 3D cues emerge as a byproduct of object recognition training
IC-259
Fine-tuned DNNs approach human accuracy on VPT-basic but fail on VPT-strategy, revealing reliance on a brittle feature-based shortcut (object size and location) rather than line-of-sight estimation