MECCANO: A multimodal egocentric dataset for humans behavior understanding in the industrial-like domain

Author:

Ragusa FrancescoORCID,Furnari Antonino,Farinella Giovanni MariaORCID

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference110 articles.

1. Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions;Bambach,2015

2. Bansal, S., Arora, C., Jawahar, C., 2022. My View is the Best View: Procedure Learning from Egocentric Videos. In: European Conference on Computer Vision (ECCV).

3. First person action-object detection with EgoNet;Bertasius,2017

4. Understanding hand-object manipulation with grasp types and object attributes;Cai,2016

5. A short note on the kinetics-700 human action dataset;Carreira,2019

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1. An Outlook into the Future of Egocentric Vision;International Journal of Computer Vision;2024-05-28

2. Поєднання методів GNN та NURBS для ідентифікації рухомих об’єктів;Системи обробки інформації;2024-05-21

3. IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. ENIGMA-51: Towards a Fine-Grained Understanding of Human Behavior in Industrial Scenarios;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. Quasi-Online Detection of Take and Release Actions from Egocentric Videos;Image Analysis and Processing – ICIAP 2023;2023

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