ViewBridge uses curriculum knowledge distillation and a geometry-based occlusion metric to learn view-invariant activity representations from multi-view training data, outperforming prior methods on keystep grounding and recognition across three datasets from single-view inference.
8.2) — We provide an analysis of our model’s performance relative to EgoVLPv2 (strongest baseline) within each unique keystep name as well as within each high-level activity
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ViewBridge: Curriculum Knowledge Distillation for Activity View-Invariance Under Extreme Viewpoint Changes
ViewBridge uses curriculum knowledge distillation and a geometry-based occlusion metric to learn view-invariant activity representations from multi-view training data, outperforming prior methods on keystep grounding and recognition across three datasets from single-view inference.