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Found 2 papers, 1 papers with code
An Empirical Study on Activity Recognition in Long Surgical Videos
In this paper, we investigate many state-of-the-art backbones and temporal models to find architectures that yield the strongest performance for surgical activity recognition.
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions
Our model completes block manipulation tasks with synthetic commands 530 more often than a UNet-based baseline, and learns to localize actions correctly while creating a mapping of symbols to perceptual input that supports compositional reasoning.
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