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Found 7 papers, 1 papers with code
Collaborating with language models for embodied reasoning
On the other hand, Large Scale Language Models (LSLMs) have exhibited strong reasoning ability and the ability to to adapt to new tasks through in-context learning.
Learning to Navigate Wikipedia by Taking Random Walks
A fundamental ability of an intelligent web-based agent is seeking out and acquiring new information.
Neural Naturalist: Generating Fine-Grained Image Comparisons
We introduce the new Birds-to-Words dataset of 41k sentences describing fine-grained differences between photographs of birds.
The iMet Collection 2019 Challenge Dataset
Existing computer vision technologies in artwork recognition focus mainly on instance retrieval or coarse-grained attribute classification.
Efficient 6-DoF Tracking of Handheld Objects from an Egocentric Viewpoint
Virtual and augmented reality technologies have seen significant growth in the past few years.
Egocentric 6-DoF Tracking of Small Handheld Objects
Virtual and augmented reality technologies have seen significant growth in the past few years.
Real-time Egocentric Gesture Recognition on Mobile Head Mounted Displays
Mobile virtual reality (VR) head mounted displays (HMD) have become popular among consumers in recent years.
