Results 161 to 170 of about 1,409,257 (215)
An Egocentric Life-Saving Interventional Procedure Dataset of Actions, Medical Questions, Maneuvers and Tools. [PDF]
Zhuo Y +16 more
europepmc +1 more source
Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100
This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a collection of 100 hours, 20M frames, 90K actions in 700 variable-length videos, capturing long-term ...
D. Damen +10 more
semanticscholar +3 more sources
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset
First-person vision is gaining interest as it offers a unique viewpoint on people's interaction with objects, their attention, and even intention. However, progress in this challenging domain has been relatively slow due to the lack of sufficiently large
D. Damen +10 more
semanticscholar +5 more sources
Egocentric Vision Language Planning
We explore leveraging large multi-modal models (LMMs) and text2image models to build a more general embodied agent. LMMs excel in planning long-horizon tasks over symbolic abstractions but struggle with grounding in the physical world, often failing to ...
Zhi-Rui Fang +7 more
semanticscholar +3 more sources
PEDESTRIAN: An Egocentric Vision Dataset for Obstacle Detection on Pavements
Walking has always been a primary mode of transportation and is recognized as an essential activity for maintaining good health. Despite the need for safe walking conditions in urban environments, sidewalks are frequently obstructed by various obstacles ...
Marios Thoma +5 more
semanticscholar +4 more sources
Egocentric Vision-Based Action Recognition: A Survey
Peer ...
Gorka Azkune +2 more
exaly +4 more sources
Multi-Dataset, Multitask Learning of Egocentric Vision Tasks [PDF]
For egocentric vision tasks such as action recognition, there is a relative scarcity of labeled data. This increases the risk of overfitting during training. In this paper, we address this issue by introducing a multitask learning scheme that employs related tasks as well as related datasets in the training process.
Ronald Poppe +2 more
exaly +6 more sources

