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#

ego4d

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Curated datasets, benchmarks, models, and tools for egocentric AI, embodied intelligence, VLA, world models, robotics, and wearable vision.

  • Updated Jul 20, 2026
  • Ruby

Efficient NLVL on Ego4D. Benchmark VSLBase/VSLNet with BERT/GloVE, EgoVLP/Omnivore, configurable FiLM conditioning layer (Perez et al., FiLM: Visual Reasoning with a General Conditioning Layer), explores compression via KD, including CBKD (Lan et al., Counterclockwise Block‑by‑Block Knowledge Distillation), prototype post‑training quantization.

  • Updated Jul 19, 2026
  • Jupyter Notebook

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